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aces-dev

AMPAS Academy Color Encoding System Developer Resources

basicsr

Open Source Image and Video Restoration Toolbox, especially for Super-Resolution, including EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, etc. Also support StyleGAN2, DFDNet.

bayesiandeeplearning-survey

Bayesian Deep Learning: A Survey

capsnet.gluon

Capsule Net implementation in Gluon

cccc-lite

chaoslab

ChaosCV and Pattern Recognition

circleloss

Mxnet CircleLoss

dabnn

dabnn is an accelerated binary neural networks inference framework for mobile platform

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

editable

A supplementary code for Editable Neural Networks, an ICLR 2020 submission.

faceclustergcn

Face Cluster via GCN

facerecognize-for-mobile-phone

适用于移动端的人脸识别模型，计算量与mobilefacenet相同，但megaface上提升了2%+

faiss

A library for efficient similarity search and clustering of dense vectors.

faisswindows

fmt

A modern formatting library

frontalization

Pytorch deep learning face frontalization model

goodgoodstudy

hdri

High Dynamic Range Imageing

hrnet-facial-landmark-detection

This is an official implementation of facial landmark detection for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919

imgaug

Image augmentation for machine learning experiments.

imgui

Dear ImGui: Bloat-free Graphical User interface for C++ with minimal dependencies

imgui-node-editor

Node Editor built using Dear ImGui

incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

kinetics-downloader

Download DeepMind's Kinetics dataset.

llama.cpp

Port of Facebook's LLaMA model in C/C++

mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

magiskonwsa

Integrate Magisk root and Google Apps (OpenGApps) into WSA (Windows Subsystem for Android)

mmdnn

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

moco-v3

PyTorch implementation of MoCo v3 https//arxiv.org/abs/2104.02057

model-and-algorithm

模型与算法-book