zwfightzw

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/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)