Ross Wightman's repositories
pytorch-dpn-pretrained
Dual Path Networks (DPN) supporting pretrained weights converted from original MXNet implementation
pytorch-nips2017-attack-example
A PyTorch baseline attack example for the NIPS 2017 adversarial competition
pytorch-pommerman-rl
PyTorch RL for Pommerman
pytorch-planet-amazon
PyTorch models and training code for 'Planet: Understanding the Amazon from Space' Kaggle
pytorch-pretrained-gluonresnet
Well trained MXNet Gluon Model Zoo ResNet/ResNeXt/SE-ResNeXt ported to PyTorch
pytorch-nips2017-adversarial
NIPS 2017 Adversarial Competition in PyTorch
pytorch-opensim-rl
PyTorch based Reinforcement Learning for OpenSim Prosthetics and Learning to Run environments
pytorch-commands
Some PyTorch code for the Kaggle Speech Recognition Challenge
tensorflow
Computation using data flow graphs for scalable machine learning
pytorch-countception-sealion
Pytorch implementation of Count-ception and custom CNN counting models for Kaggle Sea Lion Count challenge
pytorch-nips2017-defense-example
A PyTorch baseline defense example for the NIPS 2017 adversarial competition
tensorflow-models
Models built with TensorFlow
tensorflow-speech_commands
Speech commands training/models from TF repo adapted for speech commands Kaggle
tensorflow-models-slim
Filtered research/slim folder from tensorflow models repository. With experiments and additions.
ariac-workspace
Docker based setup for experimenting with ARIAC ROS setup
M4-methods
Includes the source code of the methods which participated in the M4 Competition
obstacle-tower-pytorch-a2c-ppo
PPO/A2C in PyTorch for the Obstacle Tower Challenge
playground
PlayGround: AI Research into Multi-Agent Learning.
pytorch-docker
Dockerfile definitions with matching Docker Hub images for PyTorch
harmonicConvolutions
Deep Translation and Rotation Equivariance
pytorch-a2c-ppo-acktr
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO) and Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR).
cleverhans
A library for benchmarking vulnerability to adversarial examples
NeuralNetwork-Examples
The same small networks implemented in different frameworks