Stars
GenAI Agent Framework, the Pydantic way
Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train OpenAI gpt-oss, DeepSeek, Qwen, Llama, Gemma, TTS 2x faster with 70% less VRAM.
Contextual Position Encoding but with some custom CUDA Kernels https://arxiv.org/abs/2405.18719
Community Open Source Implementation of GPT4o in PyTorch
Implementation of the model: "Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models" in PyTorch
Build high-performance AI models with modular building blocks
Implementation of the paper: "Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention" from Google in pyTORCH
Accessible large language models via k-bit quantization for PyTorch.
A high-throughput and memory-efficient inference and serving engine for LLMs
Reverse engineered API of Microsoft's Bing Chat AI
Plug in and Play Implementation of Tree of Thoughts: Deliberate Problem Solving with Large Language Models that Elevates Model Reasoning by atleast 70%
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
a.k.a. Awesome ChatGPT Prompts. Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete privacy.
A trend starts from "Chain of Thought Prompting Elicits Reasoning in Large Language Models".
Text-to-3D & Image-to-3D & Mesh Exportation with NeRF + Diffusion.
news-please - an integrated web crawler and information extractor for news that just works
The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。
Ensemble learning related books, papers, videos, and toolboxes
A collection of important graph embedding, classification and representation learning papers with implementations.
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
ICLR2019, Multilingual Neural Machine Translation with Knowledge Distillation
Automatic architecture search and hyperparameter optimization for PyTorch
Automated Machine Learning with scikit-learn