Stars
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Control WS2812B and many more types of digital RGB LEDs with an ESP32 over WiFi!
Minimal reproduction of DeepSeek R1-Zero
Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.
Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
OpenBot leverages smartphones as brains for low-cost robots. We have designed a small electric vehicle that costs about $50 and serves as a robot body. Our software stack for Android smartphones su…
🤖 Machine Learning Summer School Guide
Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners
A curated list of network embedding techniques.
Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)
Lightweight inference library for ONNX files, written in C++. It can run Stable Diffusion XL 1.0 on a RPI Zero 2 (or in 298MB of RAM) but also Mistral 7B on desktops and servers. ARM, x86, WASM, RI…
🔓 Lip Reading - Cross Audio-Visual Recognition using 3D Architectures
Kunena Forum - Forum / Bulletin Board / Discussions component for Joomla - This is the 6.x/5.x main development branch. Please do not open issues regarding earlier versions of Kunena
SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]
A comprehensive list of awesome contrastive self-supervised learning papers.
Python library to manipulate ESC/POS printers
Keras Generative Adversarial Networks
(ICLR 2022 Spotlight) Official PyTorch implementation of "How Do Vision Transformers Work?"
A MMU system developed by ANNEX Engineering
Generating Videos with Scene Dynamics. NIPS 2016.
Examples of using Python for Twitter social data mining, using the python-twitter-tools framework.
Face Renderer to perform Domain (Face) Specific Data Augmentation
Public repo for Augmented Multiscale Deep InfoMax representation learning