Stars
Orchis is a [Material Design](https://material.io) theme for GNOME/GTK based desktop environments.
A collection of resources and papers on Vector Quantized Variational Autoencoder (VQ-VAE) and its application
Fetch and install Boot Camp ESDs with ease.
[NeurIPS 2020] This project provides a strong single-stage baseline for Long-Tailed Classification, Detection, and Instance Segmentation (LVIS). It is also a PyTorch implementation of the NeurIPS 2…
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
A collection of literature after or concurrent with Masked Autoencoder (MAE) (Kaiming He el al.).
OKLib: A Toolchain for Checking Silent Semantic Violations in Distributed Systems
Visualizer for neural network, deep learning and machine learning models
[CVPR'22 Oral] GMFlow: Learning Optical Flow via Global Matching
OpenMMLab optical flow toolbox and benchmark
Learning to Estimate Hidden Motions with Global Motion Aggregation (ICCV 2021)
[ NeurIPS2021] This is an official implementation of our paper "HRFormer: High-Resolution Transformer for Dense Prediction".
The official PyTorch implementation of Towards Fast, Accurate and Stable 3D Dense Face Alignment, ECCV 2020.
The official PyTorch implementation of img2pose: Face Alignment and Detection via 6DoF, Face Pose Estimation - CVPR 2021
State-of-the-art 2D and 3D Face Analysis Project
🔥 2D and 3D Face alignment library build using pytorch
Pruning and other network surgery for trained Keras models.
Python tools for 3D face: 3DMM, Mesh processing(transform, camera, light, render), 3D face representations.
The PyTorch improved version of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution.
Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network (ECCV 2018)
DECA: Detailed Expression Capture and Animation (SIGGRAPH 2021)
Allows the Nintendo Switch Pro Controller, Joycons and SNES controller to be used with CEMU, Citra, Dolphin, Yuzu and as generic XInput
Locally Enhanced Self-Attention: Rethinking Self-Attention as Local and Context Terms
DeepLab2 is a TensorFlow library for deep labeling, aiming to provide a unified and state-of-the-art TensorFlow codebase for dense pixel labeling tasks.
JHU Dissertation LaTeX mwe
Exploring Self-attention for Image Recognition, CVPR2020.
Code for "Learning Dynamic Memory Networks for Object Tracking"
OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT), Video Instance Segmentation (VIS) with a unified framework.