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Hadi Salman's Projects

baselines icon baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

capsnet-tensorflow icon capsnet-tensorflow

A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules

carla icon carla

Open-source simulator for autonomous driving research.

chainer icon chainer

A flexible framework of neural networks for deep learning

cifar10_challenge icon cifar10_challenge

A challenge to explore adversarial robustness of neural networks on CIFAR10.

cleverhans icon cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

cntk icon cntk

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

convex_adversarial icon convex_adversarial

A method for training neural networks that are provably robust to adversarial attacks.

cyclegan icon cyclegan

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

deeprl-agents icon deeprl-agents

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

examples icon examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

ffcv icon ffcv

FFCV: Fast Forward Computer Vision (and other ML workloads!)

geometric-motion-planning icon geometric-motion-planning

A repository containing codes for "Shape Based Geometric Motion Planning for an Under-actuated Highly-Articulated System"

glow icon glow

Code for reproducing results in "Glow: Generative Flow with Invertible 1x1 Convolutions"

gym-gazebo-hadi icon gym-gazebo-hadi

Modified version of gym-gazebo. Includes new Gazebo models and new deep RL architectures

h-dqn icon h-dqn

Reproduction of Kulkarni et al. (2016) in Python

iaf icon iaf

Code for reproducing key results in the paper "Improving Variational Inference with Inverse Autoregressive Flow"

icaps2017-code icon icaps2017-code

Repository containing the codes that were used in the paper "Multi-agent Ergodic Coverage with Obstacle Avoidance"

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