#typescript #collaboration #docker #go #knowledge_base #markdown #memo #note_taking #open_source #react #self_hosted #sqlite

https://github.com/usememos/memos

#typescript #knowledge_management #markdown #note_taking #notes #personal_knowledge_management

https://github.com/silverbulletmd/silverbullet

#python #auto_tuning #deep_learning #knowledge_distillation #low_precision #post_training_quantization #pruning #quantization #quantization_aware_training #sparsity

https://github.com/intel/neural-compressor

#typescript #angular #chatgpt #electron #knowledge_base #knowledge_discovery #knowledge_distillation #knowledge_graph #knowledge_management #knowledge_sharing #langchain #learning #openai #research

https://github.com/KnowledgeCanvas/knowledge

#other #awesome_list #blockchain #cryptocurrency #curated_list #defi #infosec #knowledge_base #opsec #security

https://github.com/OffcierCia/Crypto-OpSec-SelfGuard-RoadMap

#other #awesome #awesome_list #bitcoin #blockchain #blockchain_technology #cryptocurrency #curated_list #defi #ethereum #knowledge_base #research #smart_contracts

https://github.com/OffcierCia/ultimate-defi-research-base

#typescript #ai #azure_openai_api #chat #chatglm #chatgpt #claude #dalle_3 #function_calling #gemini #gpt #gpt_4 #gpt_4_vision #knowledge_base #nextjs #ollama #openai #qwen2 #rag #tts

LobeChat is an open-source, modern chatbot framework that supports ChatGPT and other Large Language Models (LLMs). It offers several key features Works with multiple AI model providers like OpenAI, Google AI, and more.
- **Speech Synthesis and Voice Conversation** Can recognize and respond to images using models like GPT-4 Vision.
- **Text to Image Generation** Extends functionality with plugins for tasks like web searches and document management.
- **One-Click Deployment** Offers customizable themes and optimized mobile experience.

These features make LobeChat highly flexible and user-friendly, allowing you to create a personalized and powerful chatbot with minimal setup.

https://github.com/lobehub/lobe-chat

#python #emnlp2024 #knowledge_curation #large_language_models #naacl #nlp #report_generation #retrieval_augmented_generation

STORM is a system that helps you write articles like those on Wikipedia by using internet searches. Here’s how it benefits you STORM conducts internet research, collects references, and generates an outline for your topic.
- **Collaborative Feature** You can install STORM using `pip install knowledge-storm` and customize it according to your needs.
- **User-Friendly**: Over 70,000 people have used STORM, and it helps experienced Wikipedia editors in their pre-writing stage.

This system makes researching and writing articles much easier and more efficient.

https://github.com/stanford-oval/storm

#clojure #clojure #clojurescript #git #graph #knowledge_base #knowledge_graph #local_first #markdown #note_taking #org_mode #pkm

Logseq is a tool that helps you manage your knowledge and collaborate with others while keeping your data private. It offers powerful tools for organizing notes, collaborating, annotating PDFs, and managing tasks. You can use it to visually group and link your notes, videos, and images on a canvas. Logseq supports multiple file formats like Markdown and Org-mode and has a growing ecosystem of plugins and themes to customize your experience. It also has mobile apps, making it accessible anywhere. By using Logseq, you can improve your productivity and streamline your workflow easily.

https://github.com/logseq/logseq

#typescript #chatbot #cot #graphrag #knowledge_graph #mysql #rag #serverless #vector_database

TiDB.AI is a free and open-source tool that helps you find information easily. It uses a Knowledge Graph built on top of TiDB Vector, LlamaIndex, and DSPy. You can use it to search for information in a conversational way, similar to talking to a person. It also allows you to edit the knowledge graph to make sure the information is accurate. You can even add a search widget to your website with just a few lines of code. This makes it easier for users to get quick answers to their questions, improving their overall experience.

https://github.com/pingcap/autoflow