Pinned Repositories
another_vae
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.
CARA_Analysis_Tools
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
Meta-Critic
MLM
zwfightzw's Repositories
zwfightzw/Meta-Critic
zwfightzw/MLM
zwfightzw/another_vae
zwfightzw/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.
zwfightzw/CARA_Analysis_Tools
zwfightzw/cyphercat
Implementation of membership inference and model inversion attacks, extracting training data information from an ML model. Benchmarking attacks and defenses.
zwfightzw/da-faster-rcnn
An implementation of our CVPR 2018 work 'Domain Adaptive Faster R-CNN for Object Detection in the Wild'
zwfightzw/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
zwfightzw/darknet-1
Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection (Tensor Cores are used)
zwfightzw/darknet-mobilenet
Recurrent mobilenet based on darknet
zwfightzw/darknet_scripts
Auxilary scripts to work with (YOLO) darknet deep learning famework. AKA -> How to generate YOLO anchors?
zwfightzw/differential-privacy-federated-learning
Curated notebooks on how to train neural networks using differential privacy and federated learning.
zwfightzw/differential-privacy-library
Diffprivlib: The IBM Differential Privacy Library
zwfightzw/disteng_vae
zwfightzw/federated-averaging-tutorials
A set of tutorials to implement the Federated Averaging algorithm on TensorFlow.
zwfightzw/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.
zwfightzw/MAAC
Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019
zwfightzw/MER
Fork of the GEM project (https://github.com/facebookresearch/GradientEpisodicMemory) including Meta-Experience Replay (MER) methods from the ICLR 2019 paper (https://openreview.net/pdf?id=B1gTShAct7)
zwfightzw/meta-MADDPG
meta-MADDPG (Python implementation)
zwfightzw/MLDG
The demo codes for the MLDG paper "Learning to Generalize: Meta-Learning for Domain Generalization", https://arxiv.org/abs/1710.03463, https://arxiv.org/pdf/1710.03463.pdf
zwfightzw/Multi-devices-Machine-Learning
default
zwfightzw/new_vae
zwfightzw/new_vae_1
zwfightzw/pg_travel
Policy Gradient algorithms (REINFORCE, NPG, TRPO, PPO)
zwfightzw/pymarl
Python Multi-Agent Reinforcement Learning framework
zwfightzw/PySyft
A library for encrypted, privacy preserving machine learning
zwfightzw/residual_adapters
zwfightzw/Robust-Multitask-RL
Machine Learning Course Project Skoltech 2018
zwfightzw/SENet
Squeeze-and-Excitation Networks
zwfightzw/terngrad
Ternary Gradients to Reduce Communication in Distributed Deep Learning (TensorFlow)