jacobaustin123/wgan-pytorch

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Python
Created about 5 years ago
Updated about 5 years ago

jacobaustin123/wgan-pytorch

jacobaustin123

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PyTorch implementation of the Wasserstein GAN for image generation

Coral

The Coral Programming Language: a blazingly-fast, gradually-typed Python compiler with optional static typing for optimization and safety.

Titan

A high-performance CUDA-based physics simulation sandbox for soft robotics and reinforcement learning.

pytorch-dqn

PyTorch implementation of DeepMind's "Human-level control through deep reinforcement learning"

Python-C-API-CUDA-Tutorial

A tutorial/example of the Python C-API and integration with CUDA kernels.

pytorch-inpainting-partial-conv

A PyTorch implementation of the "Image Inpainting for Irregular Holes Using Partial Convolutions" paper from Liu et al at NVIDIA

renderer

A python-based rendering and rasterizing library for stl files.

tic-tac-toe-minimax

A collection of minimax algorithms for tic-tac-toe, implementation in Python. Includes simple minimax, alpha-beta pruning, and fixed-depth search with heuristic evaluation.

reinforcement-learning

Demonstrations, examples, and tutorials for reinforcement learning, including policy gradient and k-armed bandit problems.

Pipes

A Python variant with Pipes and partial function completion

jaustin

A set of core personal libraries for Python programming

demos

Python demos and utilities, mostly for machine learning and image formatting

Jupyter Notebook

gradient-descent-tutorials

A variety of Tensorflow and Numpy implementations of the gradient descent backpropogation algorithm for simple one and two layer networks

fancy-cd

A fancy version of the default Bash cd command that allows you to jump to previously visited directories

pytorch-alphazero

An implementation of the 2017 DeepMind paper "Mastering the game of Go without human knowledge" for TicTacToe and Othello.

tensorflow-keras-tutorials

Tensorflow and Keras tutorials for Convolution Neural Networks (CNNs), Generative Adversarial Networks (GANs), and Recurrent Neural Networks (RNNs) using a variety of datasets, including CIFAR-10, MNIST, and ImageNet.

Jupyter Notebook