Lists (2)
Stars
(ICLR 2023) Official PyTorch implementation of "What Do Self-Supervised Vision Transformers Learn?"
This is a collection of our NAS and Vision Transformer work.
Schedule-Free Optimization in PyTorch
Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks. Support: https://discourse.slicer.org/c/community/radiomics
An open source implementation of CLIP.
This project aim to reproduce Sora (Open AI T2V model), we wish the open source community contribute to this project.
Imitation learning algorithms with Co-training for Mobile ALOHA: ACT, Diffusion Policy, VINN
Solve puzzles. Improve your pytorch.
Everything you want to know about Google Cloud TPU
Papers and Codes for the deep learning in hyperbolic space
Supplementary code for the paper "Hyperbolic Image Embeddings".
code for paper "Masked Frequency Modeling for Self-Supervised Visual Pre-Training" (https://arxiv.org/pdf/2206.07706.pdf)
Free course that takes you from zero to Reinforcement Learning PRO 🦸🏻🦸🏽
dcm2nii DICOM to NIfTI converter: compiled versions available from NITRC
A fast inference library for running LLMs locally on modern consumer-class GPUs
A repository of links with advice related to grad school applications, research, phd etc
The source code for CVPR 2020 accepted paper "Recurrent Feature Reasoning for Image Inpainting"
[SIGGRAPH Asia 2023] Rerender A Video: Zero-Shot Text-Guided Video-to-Video Translation
[ECCVW 2022] The codes for the work "Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation"
Face mask detection using YOLOv3 on GoogleColab
EfficientViT is a new family of vision models for efficient high-resolution vision.
Implementation of Nougat Neural Optical Understanding for Academic Documents
An open source implementation of Microsoft's VALL-E X zero-shot TTS model. Demo is available in https://plachtaa.github.io/vallex/