My implementation of Video-RAG

🚀 Efficient implementations of state-of-the-art linear attention models in Torch and Triton

A middle-to-high level open source algorithm book designed with coding interview at heart!

Getting crystal-like representations with harmonic loss

Ollama Benchmarking

s1: Simple test-time scaling

✨✨Latest Advances on Multimodal Large Language Models

Fully open reproduction of DeepSeek-R1

A watermarking tool to protect artworks from AIGC-driven style mimicry (e.g. LoRA)

Implementation and use of Graph Neural Networks for Image Classification

A resource for learning about Machine learning & Deep Learning

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

Build your neural network easy and fast, 莫烦Python中文教学

LLM inference in C/C++

Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs,…

Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.

PyTorch Tutorial for Deep Learning Researchers

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

Learn how to design, develop, deploy and iterate on production-grade ML applications.

📚200+ Tensor/CUDA Cores Kernels, ⚡️flash-attn-mma, ⚡️hgemm with WMMA, MMA and CuTe (98%~100% TFLOPS of cuBLAS/FA2 🎉🎉).

Curated list of project-based tutorials

A generative world for general-purpose robotics & embodied AI learning.

Recipes to scale inference-time compute of open models

Explore a comprehensive collection of resources, tutorials, papers, tools, and best practices for fine-tuning Large Language Models (LLMs). Perfect for ML practitioners and researchers!

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.