Forwarded from Machine Learning with Python
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π₯ Trending Repository: claude-context
π Description: Code search MCP for Claude Code. Make entire codebase the context for any coding agent.
π Repository URL: https://github.com/zilliztech/claude-context
π Website: https://github.com/zilliztech/claude-context/tree/master/docs
π Readme: https://github.com/zilliztech/claude-context#readme
π Statistics:
π Stars: 6.1k
π Watchers: 32
π΄ Forks: 539
π» Programming Languages: TypeScript - Python - JavaScript - CSS - HTML
π·οΈ Related Topics:
==================================
π§ By: https://t.me/DataScienceM
π Description: Code search MCP for Claude Code. Make entire codebase the context for any coding agent.
π Repository URL: https://github.com/zilliztech/claude-context
π Website: https://github.com/zilliztech/claude-context/tree/master/docs
π Readme: https://github.com/zilliztech/claude-context#readme
π Statistics:
π Stars: 6.1k
π Watchers: 32
π΄ Forks: 539
π» Programming Languages: TypeScript - Python - JavaScript - CSS - HTML
π·οΈ Related Topics:
#nodejs #agent #typescript #mcp #code_search #openai #vscode_extension #code_generation #cursor #merkle_tree #semantic_search #embedding #rag #vector_database #gemini_cli #agentic_rag #voyage_ai #ai_coding #vibe_coding #claude_code
==================================
π§ By: https://t.me/DataScienceM
π₯ Trending Repository: YTLite
π Description: A flexible enhancer for YouTube on iOS
π Repository URL: https://github.com/dayanch96/YTLite
π Readme: https://github.com/dayanch96/YTLite#readme
π Statistics:
π Stars: 4.7k
π Watchers: 31
π΄ Forks: 20.1k
π» Programming Languages: Logos - Objective-C - Makefile
π·οΈ Related Topics:
==================================
π§ By: https://t.me/DataScienceM
π Description: A flexible enhancer for YouTube on iOS
π Repository URL: https://github.com/dayanch96/YTLite
π Readme: https://github.com/dayanch96/YTLite#readme
π Statistics:
π Stars: 4.7k
π Watchers: 31
π΄ Forks: 20.1k
π» Programming Languages: Logos - Objective-C - Makefile
π·οΈ Related Topics:
#ios #downloader #youtube #jailbreak #tweak #sponsorblock
==================================
π§ By: https://t.me/DataScienceM
π₯ Trending Repository: awesome-agent-skills
π Description: A curated collection of 1000+ agent skills from official dev teams and the community, compatible with Claude Code, Codex, Gemini CLI, Cursor, and more.
π Repository URL: https://github.com/VoltAgent/awesome-agent-skills
π Website: https://officialskills.sh/
π Readme: https://github.com/VoltAgent/awesome-agent-skills#readme
π Statistics:
π Stars: 16.8k
π Watchers: 148
π΄ Forks: 1.8k
π» Programming Languages: Not available
π·οΈ Related Topics:
==================================
π§ By: https://t.me/DataScienceM
π Description: A curated collection of 1000+ agent skills from official dev teams and the community, compatible with Claude Code, Codex, Gemini CLI, Cursor, and more.
π Repository URL: https://github.com/VoltAgent/awesome-agent-skills
π Website: https://officialskills.sh/
π Readme: https://github.com/VoltAgent/awesome-agent-skills#readme
π Statistics:
π Stars: 16.8k
π Watchers: 148
π΄ Forks: 1.8k
π» Programming Languages: Not available
π·οΈ Related Topics:
#awesome #skills #awesome_list #awesome_lists #ai_agents #agent_skills #claude_code #claude_skills #claude_code_skills #codex_skills #gemini_skills #opencode_skills #antigravity_skills #cursor_skills
==================================
π§ By: https://t.me/DataScienceM
Forwarded from Machine Learning with Python
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π₯ Google Colab has added the option of retraining 500+ open-source neural networks
Unsloth has released a convenient notebook for configuring models.
Instructions:
1. Open the page in Colab: https://colab.research.google.com/github/unslothai/unsloth/blob/main/studio/Unsloth_Studio_Colab.ipynb
2. Run the blocks and the Unsloth Studio itself.
3. Select a model and a dataset.
4. Click "Start Training" and monitor the progress in real time.
5. Everything is ready - you can immediately compare the regular and fine-tuned versions of the model in the chat.
Unsloth has released a convenient notebook for configuring models.
Instructions:
1. Open the page in Colab: https://colab.research.google.com/github/unslothai/unsloth/blob/main/studio/Unsloth_Studio_Colab.ipynb
2. Run the blocks and the Unsloth Studio itself.
3. Select a model and a dataset.
4. Click "Start Training" and monitor the progress in real time.
5. Everything is ready - you can immediately compare the regular and fine-tuned versions of the model in the chat.
β€1
π₯ Trending Repository: langfuse
π Description: πͺ’ Open source LLM engineering platform: LLM Observability, metrics, evals, prompt management, playground, datasets. Integrates with OpenTelemetry, Langchain, OpenAI SDK, LiteLLM, and more. πYC W23
π Repository URL: https://github.com/langfuse/langfuse
π Website: https://langfuse.com/docs
π Readme: https://github.com/langfuse/langfuse#readme
π Statistics:
π Stars: 25.3k
π Watchers: 87
π΄ Forks: 2.6k
π» Programming Languages: TypeScript
π·οΈ Related Topics:
==================================
π§ By: https://t.me/DataScienceM
π Description: πͺ’ Open source LLM engineering platform: LLM Observability, metrics, evals, prompt management, playground, datasets. Integrates with OpenTelemetry, Langchain, OpenAI SDK, LiteLLM, and more. πYC W23
π Repository URL: https://github.com/langfuse/langfuse
π Website: https://langfuse.com/docs
π Readme: https://github.com/langfuse/langfuse#readme
π Statistics:
π Stars: 25.3k
π Watchers: 87
π΄ Forks: 2.6k
π» Programming Languages: TypeScript
π·οΈ Related Topics:
#open_source #playground #monitoring #analytics #evaluation #self_hosted #ycombinator #openai #observability #autogen #large_language_models #llm #prompt_engineering #langchain #llmops #llama_index #prompt_management #llm_evaluation #llm_observability
==================================
π§ By: https://t.me/DataScienceM
π₯ Trending Repository: OpenMetadata
π Description: OpenMetadata is a unified metadata platform for data discovery, data observability, and data governance powered by a central metadata repository, in-depth column level lineage, and seamless team collaboration.
π Repository URL: https://github.com/open-metadata/OpenMetadata
π Website: https://open-metadata.org
π Readme: https://github.com/open-metadata/OpenMetadata#readme
π Statistics:
π Stars:
π Watchers: 53
π΄ Forks: 2k
π» Programming Languages: TypeScript - Java - Python - Less - Shell - CSS
π·οΈ Related Topics:
==================================
π§ By: https://t.me/DataScienceM
π Description: OpenMetadata is a unified metadata platform for data discovery, data observability, and data governance powered by a central metadata repository, in-depth column level lineage, and seamless team collaboration.
π Repository URL: https://github.com/open-metadata/OpenMetadata
π Website: https://open-metadata.org
π Readme: https://github.com/open-metadata/OpenMetadata#readme
π Statistics:
π Stars:
π Watchers: 53
π΄ Forks: 2k
π» Programming Languages: TypeScript - Java - Python - Less - Shell - CSS
π·οΈ Related Topics:
#metadata #data_validation #mcp #snowflake #data_catalog #data_discovery #hacktoberfest #data_quality_checks #data_quality #data_profiling #metadata_management #dataengineering #dataquality #data_governance #data_lineage #data_contracts #data_observability #datadiscovery #data_collaboration #mcp_server
==================================
π§ By: https://t.me/DataScienceM
π₯ Trending Repository: Pixelle-Video
π Description: π AI ε ¨θͺε¨ηθ§ι’εΌζ | AI Fully Automated Short Video Engine
π Repository URL: https://github.com/AIDC-AI/Pixelle-Video
π Website: https://aidc-ai.github.io/Pixelle-Video/zh
π Readme: https://github.com/AIDC-AI/Pixelle-Video#readme
π Statistics:
π Stars:
π Watchers: 23
π΄ Forks:
π» Programming Languages: Python - HTML
π·οΈ Related Topics:
==================================
π§ By: https://t.me/DataScienceM
π Description: π AI ε ¨θͺε¨ηθ§ι’εΌζ | AI Fully Automated Short Video Engine
π Repository URL: https://github.com/AIDC-AI/Pixelle-Video
π Website: https://aidc-ai.github.io/Pixelle-Video/zh
π Readme: https://github.com/AIDC-AI/Pixelle-Video#readme
π Statistics:
π Stars:
π Watchers: 23
π΄ Forks:
π» Programming Languages: Python - HTML
π·οΈ Related Topics:
#tts #image_generation #video_generation #aigc #comfyui
==================================
π§ By: https://t.me/DataScienceM
π₯ Trending Repository: hackingtool
π Description: ALL IN ONE Hacking Tool For Hackers
π Repository URL: https://github.com/Z4nzu/hackingtool
π Readme: https://github.com/Z4nzu/hackingtool#readme
π Statistics:
π Stars:
π Watchers: 1.3k
π΄ Forks:
π» Programming Languages: Python - Shell - Dockerfile
π·οΈ Related Topics:
==================================
π§ By: https://t.me/DataScienceM
π Description: ALL IN ONE Hacking Tool For Hackers
π Repository URL: https://github.com/Z4nzu/hackingtool
π Readme: https://github.com/Z4nzu/hackingtool#readme
π Statistics:
π Stars:
π Watchers: 1.3k
π΄ Forks:
π» Programming Languages: Python - Shell - Dockerfile
π·οΈ Related Topics:
#linux #hacking #steganography #xss_detection #hacker #xss_attacks #ctf_tools #password_attack #ddos_attack_tool #allinonehackingtool #web_attack #wireless_attack #besthackingtool
==================================
π§ By: https://t.me/DataScienceM
π₯ Trending Repository: skills
π Description: The open agent skills tool - npx skills
π Repository URL: https://github.com/vercel-labs/skills
π Website: https://skills.sh
π Readme: https://github.com/vercel-labs/skills#readme
π Statistics:
π Stars: 15.2k
π Watchers: 51
π΄ Forks: 1.3k
π» Programming Languages: TypeScript - JavaScript
π·οΈ Related Topics: Not available
==================================
π§ By: https://t.me/DataScienceM
π Description: The open agent skills tool - npx skills
π Repository URL: https://github.com/vercel-labs/skills
π Website: https://skills.sh
π Readme: https://github.com/vercel-labs/skills#readme
π Statistics:
π Stars: 15.2k
π Watchers: 51
π΄ Forks: 1.3k
π» Programming Languages: TypeScript - JavaScript
π·οΈ Related Topics: Not available
==================================
π§ By: https://t.me/DataScienceM
β€1
π₯ Trending Repository: ml-intern
π Description: π€ ml-intern: an open-source ML engineer that reads papers, trains models, and ships ML models
π Repository URL: https://github.com/huggingface/ml-intern
π Readme: https://github.com/huggingface/ml-intern#readme
π Statistics:
π Stars: 1.5k
π Watchers: 11
π΄ Forks: 156
π» Programming Languages: Python - TypeScript
π·οΈ Related Topics: Not available
==================================
π§ By: https://t.me/DataScienceM
π Description: π€ ml-intern: an open-source ML engineer that reads papers, trains models, and ships ML models
π Repository URL: https://github.com/huggingface/ml-intern
π Readme: https://github.com/huggingface/ml-intern#readme
π Statistics:
π Stars: 1.5k
π Watchers: 11
π΄ Forks: 156
π» Programming Languages: Python - TypeScript
π·οΈ Related Topics: Not available
==================================
π§ By: https://t.me/DataScienceM
π₯ Trending Repository: Open-Generative-AI
π Description: Uncensored, open-source alternative to Higgsfield AI, Freepik, Krea, Openart AI β Free, unrestricted AI image & video generation studio with 200+ models (Flux, Midjourney, Kling, Sora, Veo). No content filters. Self-hosted, MIT licensed.
π Repository URL: https://github.com/Anil-matcha/Open-Generative-AI
π Website: https://dev.muapi.ai/open-generative-ai
π Readme: https://github.com/Anil-matcha/Open-Generative-AI#readme
π Statistics:
π Stars: 6.5k
π Watchers: 57
π΄ Forks: 1.3k
π» Programming Languages: JavaScript
π·οΈ Related Topics:
==================================
π§ By: https://t.me/DataScienceM
π Description: Uncensored, open-source alternative to Higgsfield AI, Freepik, Krea, Openart AI β Free, unrestricted AI image & video generation studio with 200+ models (Flux, Midjourney, Kling, Sora, Veo). No content filters. Self-hosted, MIT licensed.
π Repository URL: https://github.com/Anil-matcha/Open-Generative-AI
π Website: https://dev.muapi.ai/open-generative-ai
π Readme: https://github.com/Anil-matcha/Open-Generative-AI#readme
π Statistics:
π Stars: 6.5k
π Watchers: 57
π΄ Forks: 1.3k
π» Programming Languages: JavaScript
π·οΈ Related Topics:
#javascript #open_source #uncensored #muapi #image_to_video #unrestricted #text_to_video #creative_tools #generative_ai #ai_image_generation #ai_art_generator #midjourney_alternative #ai_video_generation #wan_video #kling_ai #higgsfield_ai #higgsfield #flux_1 #sora_alternative #higgsfield_alternative
==================================
π§ By: https://t.me/DataScienceM
π₯ Trending Repository: free-claude-code
π Description: Use claude-code for free in the terminal, VSCode extension or via discord like openclaw
π Repository URL: https://github.com/Alishahryar1/free-claude-code
π Readme: https://github.com/Alishahryar1/free-claude-code#readme
π Statistics:
π Stars: 3.9k
π Watchers: 36
π΄ Forks: 742
π» Programming Languages: Python - Shell
π·οΈ Related Topics: Not available
==================================
π§ By: https://t.me/DataScienceM
π Description: Use claude-code for free in the terminal, VSCode extension or via discord like openclaw
π Repository URL: https://github.com/Alishahryar1/free-claude-code
π Readme: https://github.com/Alishahryar1/free-claude-code#readme
π Statistics:
π Stars: 3.9k
π Watchers: 36
π΄ Forks: 742
π» Programming Languages: Python - Shell
π·οΈ Related Topics: Not available
==================================
π§ By: https://t.me/DataScienceM
π₯ Trending Repository: onnxruntime
π Description: ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
π Repository URL: https://github.com/microsoft/onnxruntime
π Website: https://onnxruntime.ai
π Readme: https://github.com/microsoft/onnxruntime#readme
π Statistics:
π Stars: 20k
π Watchers: 266
π΄ Forks: 3.8k
π» Programming Languages: C++ - Python - C - Cuda - C# - Assembly
π·οΈ Related Topics:
==================================
π§ By: https://t.me/DataScienceM
π Description: ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
π Repository URL: https://github.com/microsoft/onnxruntime
π Website: https://onnxruntime.ai
π Readme: https://github.com/microsoft/onnxruntime#readme
π Statistics:
π Stars: 20k
π Watchers: 266
π΄ Forks: 3.8k
π» Programming Languages: C++ - Python - C - Cuda - C# - Assembly
π·οΈ Related Topics:
#machine_learning #deep_learning #tensorflow #scikit_learn #pytorch #neural_networks #hardware_acceleration #ai_framework #onnx
==================================
π§ By: https://t.me/DataScienceM
π₯ Trending Repository: context-mode
π Description: Context window optimization for AI coding agents. Sandboxes tool output, 98% reduction. 12 platforms
π Repository URL: https://github.com/mksglu/context-mode
π Website: https://context-mode.com
π Readme: https://github.com/mksglu/context-mode#readme
π Statistics:
π Stars:
π Watchers: 65
π΄ Forks:
π» Programming Languages: TypeScript - JavaScript - Shell - HTML - CSS
π·οΈ Related Topics:
==================================
π§ By: https://t.me/DataScienceM
π Description: Context window optimization for AI coding agents. Sandboxes tool output, 98% reduction. 12 platforms
π Repository URL: https://github.com/mksglu/context-mode
π Website: https://context-mode.com
π Readme: https://github.com/mksglu/context-mode#readme
π Statistics:
π Stars:
π Watchers: 65
π΄ Forks:
π» Programming Languages: TypeScript - JavaScript - Shell - HTML - CSS
π·οΈ Related Topics:
#skills #mcp #opencode #copilot #codex #claude #zed_extension #antigravity #mcp_server #mcp_tools #cursor_plugin #claude_code #codex_cli #kiro #claude_code_hooks #claude_code_plugins #claude_code_skill #pi_agent #openclaw #context_mode
==================================
π§ By: https://t.me/DataScienceM
π₯ Trending Repository: marketingskills
π Description: Marketing skills for Claude Code and AI agents. CRO, copywriting, SEO, analytics, and growth engineering.
π Repository URL: https://github.com/coreyhaines31/marketingskills
π Website: https://marketing-skills.com
π Readme: https://github.com/coreyhaines31/marketingskills#readme
π Statistics:
π Stars: 23.2k
π Watchers: 243
π΄ Forks: 3.7k
π» Programming Languages: JavaScript - Shell
π·οΈ Related Topics:
==================================
π§ By: https://t.me/DataScienceM
π Description: Marketing skills for Claude Code and AI agents. CRO, copywriting, SEO, analytics, and growth engineering.
π Repository URL: https://github.com/coreyhaines31/marketingskills
π Website: https://marketing-skills.com
π Readme: https://github.com/coreyhaines31/marketingskills#readme
π Statistics:
π Stars: 23.2k
π Watchers: 243
π΄ Forks: 3.7k
π» Programming Languages: JavaScript - Shell
π·οΈ Related Topics:
#marketing #codex #claude
==================================
π§ By: https://t.me/DataScienceM
Today, the public mint for Lobsters on TON goes live on Getgems π¦
This is not just another NFT drop.
In my view, Lobsters is one of the first truly cohesive products at the intersection of blockchain, NFTs, and AI.
Here, the NFT is not just an image and not just a collectible.
Each Lobster is an NFT with a built-in AI agent inside: a digital character with its own soul, on-chain biography, persistent memory, and a unified identity across Telegram, Mini App, Claude, and API.
So you are not just getting an asset in your wallet.
You are getting an AI-native digital character that can interact, remember, and stay consistent across different interfaces.
What makes this especially interesting is the timing.
In the recent video Pavel Durov shared in his post about agentic bots in Telegram, the lobster imagery was right there. Against that backdrop, Lobsters does not feel like a random mint β it feels like a very precise fit for the new narrative:
Telegram-native agents + TON infrastructure + NFT ownership layer + AI utility
Put simply, this is one of the first real attempts to turn an NFT from βjust an imageβ into a digital agent.
Public mint: today, 16:00
Price: 50 TON
π Mint your Lobster on Getgems π¦π¦π¦
This is not just another NFT drop.
In my view, Lobsters is one of the first truly cohesive products at the intersection of blockchain, NFTs, and AI.
Here, the NFT is not just an image and not just a collectible.
Each Lobster is an NFT with a built-in AI agent inside: a digital character with its own soul, on-chain biography, persistent memory, and a unified identity across Telegram, Mini App, Claude, and API.
So you are not just getting an asset in your wallet.
You are getting an AI-native digital character that can interact, remember, and stay consistent across different interfaces.
What makes this especially interesting is the timing.
In the recent video Pavel Durov shared in his post about agentic bots in Telegram, the lobster imagery was right there. Against that backdrop, Lobsters does not feel like a random mint β it feels like a very precise fit for the new narrative:
Telegram-native agents + TON infrastructure + NFT ownership layer + AI utility
Put simply, this is one of the first real attempts to turn an NFT from βjust an imageβ into a digital agent.
Public mint: today, 16:00
Price: 50 TON
π Mint your Lobster on Getgems π¦π¦π¦
π₯ Trending Repository: osv-scanner
π Description: Vulnerability scanner written in Go which uses the data provided byhttps://osv.dev
π Repository URL: https://github.com/google/osv-scanner
π Website: https://google.github.io/osv-scanner/
π Readme: https://github.com/google/osv-scanner#readme
π Statistics:
π Stars: 9.2k
π Watchers: 67
π΄ Forks: 602
π» Programming Languages: Go - Python - Go Template - JavaScript - CSS - Java
π·οΈ Related Topics:
==================================
π§ By: https://t.me/DataScienceM
π Description: Vulnerability scanner written in Go which uses the data provided byhttps://osv.dev
π Repository URL: https://github.com/google/osv-scanner
π Website: https://google.github.io/osv-scanner/
π Readme: https://github.com/google/osv-scanner#readme
π Statistics:
π Stars: 9.2k
π Watchers: 67
π΄ Forks: 602
π» Programming Languages: Go - Python - Go Template - JavaScript - CSS - Java
π·οΈ Related Topics:
#security_audit #scanner #security_tools #vulnerability_scanner
==================================
π§ By: https://t.me/DataScienceM
π₯ Trending Repository: vaultwarden
π Description: Unofficial Bitwarden compatible server written in Rust, formerly known as bitwarden_rs
π Repository URL: https://github.com/dani-garcia/vaultwarden
π Readme: https://github.com/dani-garcia/vaultwarden#readme
π Statistics:
π Stars:
π Watchers: 288
π΄ Forks:
π» Programming Languages: Rust - Handlebars - TypeScript - Shell - Jinja - HCL
π·οΈ Related Topics:
==================================
π§ By: https://t.me/DataScienceM
π Description: Unofficial Bitwarden compatible server written in Rust, formerly known as bitwarden_rs
π Repository URL: https://github.com/dani-garcia/vaultwarden
π Readme: https://github.com/dani-garcia/vaultwarden#readme
π Statistics:
π Stars:
π Watchers: 288
π΄ Forks:
π» Programming Languages: Rust - Handlebars - TypeScript - Shell - Jinja - HCL
π·οΈ Related Topics:
#docker #rust #rocket #bitwarden #bitwarden_rs #vaultwarden
==================================
π§ By: https://t.me/DataScienceM
π₯ Trending Repository: DeepEP
π Description: DeepEP: an efficient expert-parallel communication library
π Repository URL: https://github.com/deepseek-ai/DeepEP
π Readme: https://github.com/deepseek-ai/DeepEP#readme
π Statistics:
π Stars: 9.2k
π Watchers: 101
π΄ Forks: 1.2k
π» Programming Languages: Cuda - Python - C++ - Shell - CMake
π·οΈ Related Topics: Not available
==================================
π§ By: https://t.me/DataScienceM
π Description: DeepEP: an efficient expert-parallel communication library
π Repository URL: https://github.com/deepseek-ai/DeepEP
π Readme: https://github.com/deepseek-ai/DeepEP#readme
π Statistics:
π Stars: 9.2k
π Watchers: 101
π΄ Forks: 1.2k
π» Programming Languages: Cuda - Python - C++ - Shell - CMake
π·οΈ Related Topics: Not available
==================================
π§ By: https://t.me/DataScienceM