Name: Chen Jiale
Type: User
Company: Chongqing University of Finance and Economics
Bio: I am Chen Jiale, my research interests include deep learning, image and video analysis, and object recognition.
Location: China, Chongqing
Chen Jiale's Projects
3D ResNets for Action Recognition (CVPR 2018)
The classical paper list with code about generative adversarial nets
A pytorch based Gomoku game model. Alpha Zero algorithm based reinforcement Learning and Monte Carlo Tree Search model.
Some Android learning materials, hoping to help you learn Android development.
The top Internet companies android interview questions and answers
:sunglasses: Curated list of awesome lists
A curated list of action recognition and related area resources
A curated list of awesome Android UI/UX libraries
Automatic Speech Recognition, Speaker Verification, Speech Synthesis, Language Modeling
Basic Super-Resolution codes for development. Includes ESRGAN, SFT-GAN for training and testing.
Instant messaging platform. Backend in Go. Clients: Swift iOS, Java Android, JS webapp, scriptable command line; chatbots
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++
cvpr2019 papers,极市团队整理
Deep learning person re-identification in PyTorch.
The DeepMind Control Suite and Package
ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution (Third Region)
Example repository for custom C++/CUDA operators for TorchScript
Face recognition using Tensorflow
Pretrained Pytorch face detection (MTCNN) and recognition (InceptionResnet) models
:books: Freely available programming books
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
A list of cool features of Git and GitHub.
Just another repository
镜像:https://coding.net/u/scaffrey/p/hosts/git
ICCV 2019 papers/new汇总帖,极市团队整理
Models and examples built with TensorFlow
Policy Gradient algorithms (REINFORCE, NPG, TRPO, PPO)
Graph Convolutional Networks for Temporal Action Localization (ICCV2019)
Code for the paper "PixelCNN++: A PixelCNN Implementation with Discretized Logistic Mixture Likelihood and Other Modifications"
Deep Planning Network: Control from pixels by latent planning with learned dynamics