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Collection of reinforcement learning algorithms
An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
A toolkit for developing and comparing reinforcement learning algorithms.
An educational resource to help anyone learn deep reinforcement learning.
Implementation related to the Deep Complex Networks
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
TuShare is a utility for crawling historical data of China stocks
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
An image registration method using convolutional neural network features.
Unsupervised Learning for Image Registration
PyTorch implementation of DEC (Deep Embedding Clustering)
A Simple and Versatile Framework for Object Detection and Instance Recognition
Code and models for "Learning to Compare Image Patches via Convolutional Neural Networks"
code for ChaLearn Face Anti-spoofing Attack Detection Challenge@CVPR2019
Cork/Face Presentation Attack Detection
Code for 3rd Place Solution in Face Anti-spoofing Attack Detection Challenge @ CVPR2019,model only 0.35M!!! 1.88ms(CPU)
FaceBagNet - Patch-based Methods for Multi-modal Face Anti-spoofing (FAS)
Single Shot Face Anti-spoofing.
开源配合型人脸活体检测 Open Source Face Anti-spoofing
ChaLearn Face Anti-spoofing Attack Detection Challenge@CVPR2019
Stock price prediction with LSTMs in TensorFlow