Stars
[NeurIPS '25] Knowledge Graph Generation from Any Text
Fully open reproduction of DeepSeek-R1
[NeurIPS'25, ICLR'26] Graph Foundation Model for Retrieval Augmented Generation
Graph Neural Network library made for Apple Silicon
[ICLR 2025] Simple is Effective: The Roles of Graphs and Large Language Models in Knowledge-Graph-Based Retrieval-Augmented Generation
Graph Neural Network Library for PyTorch
RelBench: Relational Deep Learning Benchmark
Multimodal Graph Learning: how to encode multiple multimodal neighbors with their relations into LLMs
SimpleHTTPServer with support for Range requests
DALL·E Mini - Generate images from a text prompt
Python package built to ease deep learning on graph, on top of existing DL frameworks.
End-to-End Object Detection with Transformers
NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.
A PyTorch Library for Accelerating 3D Deep Learning Research
Datasets, Transforms and Models specific to Computer Vision
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
The Deadlock Empire: Slay dragons, learn concurrency!
Run compilers interactively from your web browser and interact with the assembly
StyleGAN - Official TensorFlow Implementation
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
Seamless operability between C++11 and Python
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
TensorFlow code and pre-trained models for BERT
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Code for reproducing results in "Glow: Generative Flow with Invertible 1x1 Convolutions"