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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

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

disteng_vae

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

maml

Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

membership-inference

Code for Membership Inference Attack against Machine Learning Models (in Oakland 2017)

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)

meta-critic

meta-maddpg

meta-MADDPG (Python implementation)

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

mlm

multi-devices-machine-learning

default

new_vae

new_vae_1

pg_travel

Policy Gradient algorithms (REINFORCE, NPG, TRPO, PPO)

pymarl

Python Multi-Agent Reinforcement Learning framework

pysyft

A library for encrypted, privacy preserving machine learning

residual_adapters

robust-multitask-rl

Machine Learning Course Project Skoltech 2018