🔥 Trending Repository: Mathematics-for-ML
📝 Description: 🧮 A collection of resources to learn mathematics for machine learning
🔗 Repository URL: https://github.com/dair-ai/Mathematics-for-ML
📖 Readme: https://github.com/dair-ai/Mathematics-for-ML#readme
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==================================
🧠 By: https://t.me/DataScienceN
📝 Description: 🧮 A collection of resources to learn mathematics for machine learning
🔗 Repository URL: https://github.com/dair-ai/Mathematics-for-ML
📖 Readme: https://github.com/dair-ai/Mathematics-for-ML#readme
📊 Statistics:
🌟 Stars: 5.3K stars
👀 Watchers: 84
🍴 Forks: 549 forks
💻 Programming Languages: Not available
🏷️ Related Topics:
#machine_learning #ai #deep_learning #mathematics #ml
==================================
🧠 By: https://t.me/DataScienceN
🔥 Trending Repository: resources
📝 Description: This repo is a one stop destination to find resources for learning various domains. You can find the roadmap for any domain here.
🔗 Repository URL: https://github.com/CodeChefVIT/resources
🌐 Website: https://codechefvit.github.io/resources/
📖 Readme: https://github.com/CodeChefVIT/resources#readme
📊 Statistics:
🌟 Stars: 984 stars
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🍴 Forks: 257 forks
💻 Programming Languages: Not available
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==================================
🧠 By: https://t.me/DataScienceN
📝 Description: This repo is a one stop destination to find resources for learning various domains. You can find the roadmap for any domain here.
🔗 Repository URL: https://github.com/CodeChefVIT/resources
🌐 Website: https://codechefvit.github.io/resources/
📖 Readme: https://github.com/CodeChefVIT/resources#readme
📊 Statistics:
🌟 Stars: 984 stars
👀 Watchers: 22
🍴 Forks: 257 forks
💻 Programming Languages: Not available
🏷️ Related Topics:
#github #react #design #marketing #devops #angular #frontend #backend #blockchain #ml #resources #cloud_computing #flutter #appdev #webdev #dl #hacktoberfest #dsa #competitive_coding #codechefvit
==================================
🧠 By: https://t.me/DataScienceN
🔥 Trending Repository: awesome-ai-ml-dl
📝 Description: Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.
🔗 Repository URL: https://github.com/neomatrix369/awesome-ai-ml-dl
📖 Readme: https://github.com/neomatrix369/awesome-ai-ml-dl#readme
📊 Statistics:
🌟 Stars: 1.6K stars
👀 Watchers: 83
🍴 Forks: 362 forks
💻 Programming Languages: Jupyter Notebook - Python - Shell
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==================================
🧠 By: https://t.me/DataScienceN
📝 Description: Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.
🔗 Repository URL: https://github.com/neomatrix369/awesome-ai-ml-dl
📖 Readme: https://github.com/neomatrix369/awesome-ai-ml-dl#readme
📊 Statistics:
🌟 Stars: 1.6K stars
👀 Watchers: 83
🍴 Forks: 362 forks
💻 Programming Languages: Jupyter Notebook - Python - Shell
🏷️ Related Topics:
#nlp #docker #data #machine_learning #natural_language_processing #ai #deep_learning #time_series #algorithms #mathematica #ml #artificial_intelligence #neural_networks #data_generation #graalvm #graal #intelligent_systems #dl #machine_intelligence #cloud_devops
==================================
🧠 By: https://t.me/DataScienceN
🔥 Trending Repository: machine-learning-with-ruby
📝 Description: Curated list: Resources for machine learning in Ruby
🔗 Repository URL: https://github.com/arbox/machine-learning-with-ruby
📖 Readme: https://github.com/arbox/machine-learning-with-ruby#readme
📊 Statistics:
🌟 Stars: 2.2K stars
👀 Watchers: 116
🍴 Forks: 181 forks
💻 Programming Languages: Ruby
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==================================
🧠 By: https://t.me/DataScienceN
📝 Description: Curated list: Resources for machine learning in Ruby
🔗 Repository URL: https://github.com/arbox/machine-learning-with-ruby
📖 Readme: https://github.com/arbox/machine-learning-with-ruby#readme
📊 Statistics:
🌟 Stars: 2.2K stars
👀 Watchers: 116
🍴 Forks: 181 forks
💻 Programming Languages: Ruby
🏷️ Related Topics:
#ruby #ruby_gem #list #machine_learning #awesome #ml #awesome_list #rubynlp #rubyml
==================================
🧠 By: https://t.me/DataScienceN
🔥 Trending Repository: tensorzero
📝 Description: TensorZero is an open-source stack for industrial-grade LLM applications. It unifies an LLM gateway, observability, optimization, evaluation, and experimentation.
🔗 Repository URL: https://github.com/tensorzero/tensorzero
🌐 Website: https://tensorzero.com
📖 Readme: https://github.com/tensorzero/tensorzero#readme
📊 Statistics:
🌟 Stars: 9.9K stars
👀 Watchers: 73
🍴 Forks: 664 forks
💻 Programming Languages: Rust - TypeScript - Python - Jupyter Notebook - Go - Shell
🏷️ Related Topics:
==================================
🧠 By: https://t.me/DataScienceM
📝 Description: TensorZero is an open-source stack for industrial-grade LLM applications. It unifies an LLM gateway, observability, optimization, evaluation, and experimentation.
🔗 Repository URL: https://github.com/tensorzero/tensorzero
🌐 Website: https://tensorzero.com
📖 Readme: https://github.com/tensorzero/tensorzero#readme
📊 Statistics:
🌟 Stars: 9.9K stars
👀 Watchers: 73
🍴 Forks: 664 forks
💻 Programming Languages: Rust - TypeScript - Python - Jupyter Notebook - Go - Shell
🏷️ Related Topics:
#python #rust #machine_learning #ai #deep_learning #ml #artificial_intelligence #openai #llama #gpt #mlops #ml_engineering #ai_engineering #large_language_models #llm #llms #generative_ai #llmops #anthropic #genai
==================================
🧠 By: https://t.me/DataScienceM
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🔥 Trending Repository: best-of-ml-python
📝 Description: 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
🔗 Repository URL: https://github.com/lukasmasuch/best-of-ml-python
🌐 Website: https://ml-python.best-of.org
📖 Readme: https://github.com/lukasmasuch/best-of-ml-python#readme
📊 Statistics:
🌟 Stars: 22.3K stars
👀 Watchers: 444
🍴 Forks: 3K forks
💻 Programming Languages: Not available
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==================================
🧠 By: https://t.me/DataScienceM
📝 Description: 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
🔗 Repository URL: https://github.com/lukasmasuch/best-of-ml-python
🌐 Website: https://ml-python.best-of.org
📖 Readme: https://github.com/lukasmasuch/best-of-ml-python#readme
📊 Statistics:
🌟 Stars: 22.3K stars
👀 Watchers: 444
🍴 Forks: 3K forks
💻 Programming Languages: Not available
🏷️ Related Topics:
#python #nlp #data_science #machine_learning #deep_learning #tensorflow #scikit_learn #keras #ml #data_visualization #pytorch #transformer #data_analysis #gpt #automl #jax #data_visualizations #gpt_3 #chatgpt
==================================
🧠 By: https://t.me/DataScienceM
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🔥 Trending Repository: 3x-ui
📝 Description: Xray panel supporting multi-protocol multi-user expire day & traffic & IP limit (Vmess, Vless, Trojan, ShadowSocks, Wireguard, Tunnel, Mixed, HTTP)
🔗 Repository URL: https://github.com/MHSanaei/3x-ui
🌐 Website: https://t.me/XrayUI
📖 Readme: https://github.com/MHSanaei/3x-ui#readme
📊 Statistics:
🌟 Stars: 25.1K stars
👀 Watchers: 193
🍴 Forks: 5.1K forks
💻 Programming Languages: HTML - Go - JavaScript - Shell
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==================================
🧠 By: https://t.me/DataScienceM
📝 Description: Xray panel supporting multi-protocol multi-user expire day & traffic & IP limit (Vmess, Vless, Trojan, ShadowSocks, Wireguard, Tunnel, Mixed, HTTP)
🔗 Repository URL: https://github.com/MHSanaei/3x-ui
🌐 Website: https://t.me/XrayUI
📖 Readme: https://github.com/MHSanaei/3x-ui#readme
📊 Statistics:
🌟 Stars: 25.1K stars
👀 Watchers: 193
🍴 Forks: 5.1K forks
💻 Programming Languages: HTML - Go - JavaScript - Shell
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#tls #tunnel #http #shadowsocks #trojan #x25519 #reality #fail2ban #vmess #wireguard #post_quantum #mixed #ech #vless #shadowsocks2022 #xtls_rprx_vision #xtls_rprx_vision_udp443 #ml_kem_768 #ml_dsa_65
==================================
🧠 By: https://t.me/DataScienceM
🔥 Trending Repository: ML-For-Beginners
📝 Description: 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
🔗 Repository URL: https://github.com/microsoft/ML-For-Beginners
📖 Readme: https://github.com/microsoft/ML-For-Beginners#readme
📊 Statistics:
🌟 Stars: 79.6K stars
👀 Watchers: 1.1k
🍴 Forks: 18.5K forks
💻 Programming Languages: Jupyter Notebook - HTML - Python - Vue - JavaScript - Dockerfile
🏷️ Related Topics:
==================================
🧠 By: https://t.me/DataScienceM
📝 Description: 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
🔗 Repository URL: https://github.com/microsoft/ML-For-Beginners
📖 Readme: https://github.com/microsoft/ML-For-Beginners#readme
📊 Statistics:
🌟 Stars: 79.6K stars
👀 Watchers: 1.1k
🍴 Forks: 18.5K forks
💻 Programming Languages: Jupyter Notebook - HTML - Python - Vue - JavaScript - Dockerfile
🏷️ Related Topics:
#python #education #data_science #machine_learning #r #scikit_learn #machine_learning_algorithms #ml #machinelearning #machinelearning_python #scikit_learn_python #microsoft_for_beginners
==================================
🧠 By: https://t.me/DataScienceM
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🔥 Trending Repository: stanford-cs-229-machine-learning
📝 Description: VIP cheatsheets for Stanford's CS 229 Machine Learning
🔗 Repository URL: https://github.com/afshinea/stanford-cs-229-machine-learning
🌐 Website: https://stanford.edu/~shervine/teaching/cs-229
📖 Readme: https://github.com/afshinea/stanford-cs-229-machine-learning#readme
📊 Statistics:
🌟 Stars: 18.9K stars
👀 Watchers: 724
🍴 Forks: 4.1K forks
💻 Programming Languages: Not available
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==================================
🧠 By: https://t.me/DataScienceM
📝 Description: VIP cheatsheets for Stanford's CS 229 Machine Learning
🔗 Repository URL: https://github.com/afshinea/stanford-cs-229-machine-learning
🌐 Website: https://stanford.edu/~shervine/teaching/cs-229
📖 Readme: https://github.com/afshinea/stanford-cs-229-machine-learning#readme
📊 Statistics:
🌟 Stars: 18.9K stars
👀 Watchers: 724
🍴 Forks: 4.1K forks
💻 Programming Languages: Not available
🏷️ Related Topics:
#data_science #machine_learning #deep_learning #cheatsheet #supervised_learning #unsupervised_learning #cs229 #ml_cheatsheet
==================================
🧠 By: https://t.me/DataScienceM
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🔥 Trending Repository: tensorflow
📝 Description: An Open Source Machine Learning Framework for Everyone
🔗 Repository URL: https://github.com/tensorflow/tensorflow
🌐 Website: https://tensorflow.org
📖 Readme: https://github.com/tensorflow/tensorflow#readme
📊 Statistics:
🌟 Stars: 193K stars
👀 Watchers: 7.5k
🍴 Forks: 75.2K forks
💻 Programming Languages: C++ - Python - MLIR - HTML - Starlark - Go
🏷️ Related Topics:
==================================
🧠 By: https://t.me/DataScienceM
📝 Description: An Open Source Machine Learning Framework for Everyone
🔗 Repository URL: https://github.com/tensorflow/tensorflow
🌐 Website: https://tensorflow.org
📖 Readme: https://github.com/tensorflow/tensorflow#readme
📊 Statistics:
🌟 Stars: 193K stars
👀 Watchers: 7.5k
🍴 Forks: 75.2K forks
💻 Programming Languages: C++ - Python - MLIR - HTML - Starlark - Go
🏷️ Related Topics:
#python #machine_learning #deep_neural_networks #deep_learning #neural_network #tensorflow #ml #distributed
==================================
🧠 By: https://t.me/DataScienceM
🔥 Trending Repository: ai-data-science-team
📝 Description: An AI-powered data science team of agents to help you perform common data science tasks 10X faster.
🔗 Repository URL: https://github.com/business-science/ai-data-science-team
📖 Readme: https://github.com/business-science/ai-data-science-team#readme
📊 Statistics:
🌟 Stars: 3.9K stars
👀 Watchers: 78
🍴 Forks: 741 forks
💻 Programming Languages: Python
🏷️ Related Topics:
==================================
🧠 By: https://t.me/DataScienceM
📝 Description: An AI-powered data science team of agents to help you perform common data science tasks 10X faster.
🔗 Repository URL: https://github.com/business-science/ai-data-science-team
📖 Readme: https://github.com/business-science/ai-data-science-team#readme
📊 Statistics:
🌟 Stars: 3.9K stars
👀 Watchers: 78
🍴 Forks: 741 forks
💻 Programming Languages: Python
🏷️ Related Topics:
#data_science #machine_learning #ai #openai #gpt #copilot #agents #data_scientist #ml_engineering #ai_engineer #ai_engineering #ml_engineer #generative_ai
==================================
🧠 By: https://t.me/DataScienceM
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Here: GitHub repository to learn AI Engineering.
It contains some of the best free courses, articles, tutorials, and videos on the following topics:
Mathematical foundation
Basics of AI and #ML
Deep Learning and specializations
Generative #AI
Large language models (#LLM)
Guides on #promptengineering
#RAG, #agents, and #MCP
See here: https://github.com/ashishps1/learn-ai-engineering
👉 @CODEPROGRAMMER
It contains some of the best free courses, articles, tutorials, and videos on the following topics:
Mathematical foundation
Basics of AI and #ML
Deep Learning and specializations
Generative #AI
Large language models (#LLM)
Guides on #promptengineering
#RAG, #agents, and #MCP
See here: https://github.com/ashishps1/learn-ai-engineering
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GitHub
GitHub - ashishps1/learn-ai-engineering: Learn AI and LLMs from scratch using free resources
Learn AI and LLMs from scratch using free resources - ashishps1/learn-ai-engineering
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Forwarded from Machine Learning with Python
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We're sharing a cool resource for learning about neural networks, offering clear, step-by-step instruction with dynamic visualizations and easy-to-understand explanations.
In addition, you'll find many other useful materials on machine learning on the site.
Find and use it — https://mlu-explain.github.io/neural-networks/
tags: #AI #ML #PYTHON
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Forwarded from Machine Learning with Python
Kaggle offers interactive courses that will help you quickly understand the key topics of DS and ML.
The format is simple: short lessons, practical tasks, and a certificate upon completion — all for free.
Inside:
• basics of Python for data analysis;
• machine learning and working with models;
• pandas, SQL, visualization;
• advanced techniques and practical cases.
Each course takes just 3–5 hours and immediately provides practical knowledge for work.
tags: #ML #DEEPLEARNING #AI
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💾 llmfit — a tool that selects an LLM for your hardware
You run one command — it reads the RAM, CPU, GPU and shows which of the nearly 500 models will run normally for you, and which ones will freeze completely.
Under the hood — a smart scoring system: models are ranked by four parameters at once: quality, speed, memory usage, and context length.
⛓️ Link to GitHub
https://github.com/AlexsJones/llmfit
tags: #llm #Ml
➡ https://t.me/DataScienceN
You run one command — it reads the RAM, CPU, GPU and shows which of the nearly 500 models will run normally for you, and which ones will freeze completely.
Under the hood — a smart scoring system: models are ranked by four parameters at once: quality, speed, memory usage, and context length.
⛓️ Link to GitHub
https://github.com/AlexsJones/llmfit
tags: #llm #Ml
➡ https://t.me/DataScienceN
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