zwfightzw's repositories
Benchmark-Efficient-Reinforcement-Learning-with-Demonstrations
Benchmark present methods for efficient reinforcement learning. Methods include Reptile, MAML, Residual Policy, etc. RL algorithms include DDPG, PPO.
cyphercat
Implementation of membership inference and model inversion attacks, extracting training data information from an ML model. Benchmarking attacks and defenses.
da-faster-rcnn
An implementation of our CVPR 2018 work 'Domain Adaptive Faster R-CNN for Object Detection in the Wild'
darknet
darknet深度学习框架源码分析:详细中文注释,涵盖框架原理与实现语法分析
darknet-1
Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection (Tensor Cores are used)
darknet-mobilenet
Recurrent mobilenet based on darknet
darknet_scripts
Auxilary scripts to work with (YOLO) darknet deep learning famework. AKA -> How to generate YOLO anchors?
differential-privacy-federated-learning
Curated notebooks on how to train neural networks using differential privacy and federated learning.
differential-privacy-library
Diffprivlib: The IBM Differential Privacy Library
federated-averaging-tutorials
A set of tutorials to implement the Federated Averaging algorithm on TensorFlow.
HowToTrainYourMAMLPytorch
The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper in Pytorch.
MAAC
Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019
meta-MADDPG
meta-MADDPG (Python implementation)
pg_travel
Policy Gradient algorithms (REINFORCE, NPG, TRPO, PPO)
pymarl
Python Multi-Agent Reinforcement Learning framework
Robust-Multitask-RL
Machine Learning Course Project Skoltech 2018
terngrad
Ternary Gradients to Reduce Communication in Distributed Deep Learning (TensorFlow)