Deep learning in Rust, with shape checked tensors and neural networks

Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.

Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also …

PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)

Tiny AutoEncoder for Stable Diffusion

A programming framework for agentic AI 🤖

Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models l…

[CVPR2024] DisCo: Referring Human Dance Generation in Real World

An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

A curated list of papers, code and resources pertaining to zero shot learning

[ECCV 2020] Official Pytorch implementation for "Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification". SOTA results for ZSL and GZSL

Zero-Shot Learning with GCN (CVPR 2018)

Semantic Instance Segmentation with a Discriminative Loss Function in PyTorch