hadisalman Goto Github PK

magent

A Platform for Many-agent Reinforcement Learning

maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

minpy

NumPy interface with mixed backend execution

mipverify.jl

Evaluating Robustness of Neural Networks with Mixed Integer Programming

ml-from-scratch

Python implementations of Machine Learning models and algorithms from scratch. Aims to cover everything from Data Mining techniques to Deep Learning.

mlsh

Building on top of the "Meta-Learning Shared Hierarchies" repository of OpenAi.

models

Models and examples built with TensorFlow

naf

Experiments for the Neural Autoregressive Flows paper

networkx

Official NetworkX source code repository.

neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

nn-from-scratch

Implementing a Neural Network from Scratch

openpilot

open source driving agent

pgmpy

Python Library for Probabilistic Graphical Models

psrule

Validate objects using PowerShell rules.

pymc3

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano

pytorch-cyclegan-and-pix2pix

Image-to-image translation in PyTorch (e.g. horse2zebra, edges2cats, and more)

quadrotor-simulation

This repo contains gazebo code modified from the main repo https://github.com/tu-darmstadt-ros-pkg/hector_quadrotor

realsense_person

Intel Euclid RealSense person pack.

realsense_samples_ros

Sample code illustrating how to develop ROS applications using the Intel® RealSense™ ZR300 camera for Object Library (OR), Person Library (PT), and Simultaneous Localization And Mapping (SLAM).

rllab

rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.

robust-models-transfer

Official repository for our NeurIPS 2020 *oral* "Do Adversarially Robust ImageNet Models Transfer Better?"

robust-verify-benchmark

Benchmark for LP-relaxed robustness verification of ReLU-networks

robustness

A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.

search-coverage

simgan

Implementation of Apple's Learning from Simulated and Unsupervised Images through Adversarial Training

smoothing-adversarial

Code for our NeurIPS 2019 *spotlight* "Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers"

snakemonstergazebo

A package containing URDF model for a six legged robot (snake Monster) with a central pattern generator controller for quick integration with Gazebo

sonnet

TensorFlow-based neural network library

sphinx-rtd-tutorial

A tutorial on how to use Sphinx

stoec

This repository contains codes for the IROS2017 paper "Ergodic Coverage In Constrained Environments Using Stochastic Trajectory Optimization"