Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…

LLM inference in C/C++

GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.

Instruct-tune LLaMA on consumer hardware

A minimal Python library to facilitate the creation and manipulation of DICOM RTStructs.

ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models (ICCV 2021 Oral)

Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

Denoising Diffusion Probabilistic Models

A collection of resources and papers on Diffusion Models

Convolutional Spatial Propagation Network

Relation Networks for Object Detection

Please choose the openseg.pytorch project for the updated code that achieve SOTA on 6 benchmarks!

Multimodal Unsupervised Image-to-Image Translation

Code for Switchable Normalization from "Differentiable Learning-to-Normalize via Switchable Normalization", https://arxiv.org/abs/1806.10779

TensorFlow Neural Machine Translation Tutorial

Code for reproducing results in "Glow: Generative Flow with Invertible 1x1 Convolutions"

An extendable framework for training neural network models using TensorFlow.

TensorFlow tutorials and best practices.

An experimental technique for efficiently exploring neural architectures.

Composable GAN framework with api and user interface

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

bayes deep

A chatbot implemented in TensorFlow based on the seq2seq model, with certain rules integrated.