Specify what you want it to build, the AI asks for clarification, and then builds it.

Rich is a Python library for rich text and beautiful formatting in the terminal.

The simplest, fastest repository for training/finetuning medium-sized GPTs.

Let us control diffusion models!

Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.

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

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

Google Drive Public File Downloader when Curl/Wget Fails

Simple PyTorch Tutorials Zero to ALL!

The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

Code for "NeuralRecon: Real-Time Coherent 3D Reconstruction from Monocular Video", CVPR 2021 oral

A PyTorch Library for Multi-Task Learning

The official repo for [NeurIPS'22] "ViTPose: Simple Vision Transformer Baselines for Human Pose Estimation" and [TPAMI'23] "ViTPose++: Vision Transformer for Generic Body Pose Estimation"

4DHumans: Reconstructing and Tracking Humans with Transformers

PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).

[Pedestron] Generalizable Pedestrian Detection: The Elephant In The Room. @ CVPR2021

Code of ICLR2023 paper "TaskPrompter: Spatial-Channel Multi-Task Prompting for Dense Scene Understanding" and ECCV2022 paper "Inverted Pyramid Multi-task Transformer for Dense Scene Understanding"

a thin wrapper of chatgpt for improving paper writing.

This repository contains code corresponding to the paper Learning to Reconstruct People in Clothing from a Single RGB Camera.

3D Human Pose Estimation in RGBD Images for Robotic Task Learning

[CVPR2020] "Detecting Attended Visual Targets in Video"

[ICCV21] Official implementation of the "Social NCE: Contrastive Learning of Socially-aware Motion Representations" in PyTorch.

Code for ACCV2018 paper 'Believe It or Not, We Know What You Are Looking at!'

A simple recipe for training and inferencing Transformer architecture for Multi-Task Learning on custom datasets. You can find two approaches for achieving this in this repo.

Attentive Single-tasking of Multiple Tasks

Official Implementation for paper "Referring Transformer: A One-step Approach to Multi-task Visual Grounding" Neurips 2021

Transformer Networks for Pedestrian Detection

Diffusion attentive attribution maps for interpreting Stable Diffusion for image-to-image attention.