Lightweight Image Super-Resolution with Information Multi-distillation Network (ACM MM 2019, Winner Award of ICCVW AIM 2019 Constrained SR Track1&Track2)

FaceNet for face recognition using pytorch

label-smooth, amsoftmax, focal-loss, triplet-loss. Maybe useful

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

The project is an official implement of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

Deep Pose Estimation implemented using Tensorflow with Custom Architectures for fast inference.

Keras implementation of a CNN network for age and gender estimation

A small package to create visualizations of PyTorch execution graphs

Awesome Knowledge Distillation

This is a fast caffe implementation of ShuffleNet.

Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.

VIP cheatsheets for Stanford's CS 229 Machine Learning

Code for reproducing results in "Glow: Generative Flow with Invertible 1x1 Convolutions"

Code for "Image Generation from Scene Graphs", Johnson et al, CVPR 2018

Face Recognition Project on MXNet

Magenta: Music and Art Generation with Machine Intelligence

Taskonomy: Disentangling Task Transfer Learning

The world's simplest facial recognition api for Python and the command line

OpenPose: Real-time multi-person keypoint detection library for body, face, and hands estimation

Deep Learning Book Chinese Translation

👨 Code for "Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression"

Face recognition with deep neural networks.

Convert MXNet model to Caffe model

An interactive book on deep learning. Much easy, so MXNet. Wow.

ncnn is a high-performance neural network inference framework optimized for the mobile platform

Models and examples built with TensorFlow

Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.