tomerwei's repositories

pybullet_suncg

Simple pybullet-based physics for SUNCG houses

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ModalSound

Educational C++ code used at SIGGRAPH 2016 Course "Physically Based Sound for Computer Animation and Virtual Environments"

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admm-elastic

ADMM ⊇ Projective Dynamics: Fast Simulation of Hyperelastic Models with Dynamic Constraints

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fast-multipole-method

An implementation for the fast multipole method

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fmmtl

FMM Template Library

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220-ragdoll

The midterm assignment for mart220

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the-gan-zoo

A list of all named GANs!

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SpaceshipGenerator

A Blender script to procedurally generate 3D spaceships

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NiftyNet

An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

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stanford-tensorflow-tutorials

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

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GPy

Gaussian processes framework in python

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ROBIN

ROBIN (Repository Of BuildIng plaNs)

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CS-114

Notes and Projects for CS 114 at NJIT with Professor Kapleau, Fall 2017

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autograd

Efficiently computes derivatives of numpy code.

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BayesianOptimization

A Python implementation of global optimization with gaussian processes.

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Discregrid

A static C++ library for the generation of discrete functions on a box-shaped domain. This is especially suited for the generation of signed distance fields.

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awesome-rl

Reinforcement learning resources curated

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fluid-engine-dev

Fluid simulation engine for computer graphics applications

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hessianIK

Source code for the paper "Inverse Kinematics Problems with Exact Hessian Matrices" at Motion in Games (MIG) 2017

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Books

Books.

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DirectFuturePrediction

Code for the paper "Learning to Act by Predicting the Future", Alexey Dosovitskiy and Vladlen Koltun, ICLR 2017

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research-group-resources

Resources for people running research groups.

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dl-docker

An all-in-one Docker image for deep learning. Contains all the popular DL frameworks (TensorFlow, Theano, Torch, Caffe, etc.)

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DDPG

Implementation of DDPG (Modified from the work of Patrick Emami) - Tensorflow (no TFLearn dependency), Ornstein Uhlenbeck noise function, reward discounting, works on discrete & continuous action spaces

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synthetic-computer-vision

A list of synthetic dataset and tools for computer vision

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libccd

Library for collision detection between two convex shapes

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