machine-learning

Data extraction with Donut ML model

SynthGenAI - Package for Generating Synthetic Datasets using LLMs.

A curated list of strategies, tools, papers, and resources for reducing LLM token costs and improving efficiency in production.

An unofficial pytorch implementation of 'Efficient Infinite Context Transformers with Infini-attention'

🤖 Python implementations of some of the fundamental Machine Learning models and algorithms from scratch with interactive Jupyter demos and math being explained.

Async-first meta framework for building enterprise-grade multi-agent systems.

Generative framework for crystal structure prediction and de novo generation of inorganic crystals.

📚 Text Classification with LoRA (Low-Rank Adaptation) of Language Models - Efficiently fine-tune large language models for text classification tasks using the Stanford Sentiment Treebank (SST-2) dataset and the LoRA technique.

自撰作品《AI精准操作手册：从Prompt工程到认知导航》（AI Precision Operations Manual: From Prompt Engineering to Cognitive Navigation）

Python temellerinden Reinforcement Learning'e kadar uzanan, 22 modüllük uçtan uca Veri Bilimi & Makine Öğrenmesi yol haritası. Her konuda çalıştırılmış notebook'lar ve PDF tekrar soruları.

AI Agent 从入门到实战 - 原创保姆级中文教学，不依赖框架从零构建Agent | 作者：青松与桑叶

13 projects using ChatGPT API, Whisper, Embeddings, and DALL-E with Python.

PhyX: Does Your Model Have the "Wits" for Physical Reasoning?

3DCF / doc2dataset: token-efficient document layer with NumGuard numeric integrity and multi-framework exports for RAG & fine-tuning.

Python-based GUI to collect Feedback of Chemist in Molecules

A targeted resource for mastering LangChain, featuring practice problems, code examples, and interview-focused concepts for building AI applications with Python. Covers chaining LLMs, memory management, and tool integration for technical interview success.

The FunctionChain is a tool that simplifies and organizes the process of invoking OpenAI functions in your Node.js applications. With this toolkit, you can easily scaffold out and isolate all the OpenAI function calls you need, making your code more modular, maintainable, and scalable.

AI-powered learning platform with 6 specialized agents for personalized education. Features adaptive roadmaps, quizzes, tutoring, RAG document Q&A, and learning style adaptation. Built with Phidata, Streamlit, and LangChain.

Speaker identification powered by pyannote and resemblyzer

The AI-native JupyterLab — open-source Cursor for notebooks. Cmd+K inline edit, multi-step agent with cell-level tools (read/edit/run), chat with @cell/@file context, ghost-text completion, one-click traceback fix. BYO model: Anthropic, OpenAI, Gemini, Ollama, vLLM. Local-first, privacy-first, fully open source.