Jacob Austin (@jacobaustin123)
github

jacobaustin123

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  • Stars
    star
    294
  • Global Rank 90,506 (Top 4 %)
  • Followers 92
  • Following 22
  • Registered over 7 years ago
  • Most used languages
    Python
         62.5 %
    Jupyter Notebook
         12.5 %
    OCaml
         12.5 %
    Makefile     6.3 %
    Cuda     6.3 %
  • Location 🇺🇸 United States
  • Country Total Rank 23,122
  • Country Ranking
    Cuda     42
    OCaml
         46
    Makefile     616

Top repositories

1

Coral

The Coral Programming Language: a blazingly-fast, gradually-typed Python compiler with optional static typing for optimization and safety.
OCaml
141
star
2

Titan

A high-performance CUDA-based physics simulation sandbox for soft robotics and reinforcement learning.
Cuda
96
star
3

pytorch-dqn

PyTorch implementation of DeepMind's "Human-level control through deep reinforcement learning"
Python
15
star
4

Python-C-API-CUDA-Tutorial

A tutorial/example of the Python C-API and integration with CUDA kernels.
Makefile
14
star
5

pytorch-inpainting-partial-conv

A PyTorch implementation of the "Image Inpainting for Irregular Holes Using Partial Convolutions" paper from Liu et al at NVIDIA
Python
11
star
6

renderer

A python-based rendering and rasterizing library for stl files.
Python
4
star
7

wgan-pytorch

PyTorch implementation of the Wasserstein GAN for image generation
Python
4
star
8

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.
Python
2
star
9

reinforcement-learning

Demonstrations, examples, and tutorials for reinforcement learning, including policy gradient and k-armed bandit problems.
Python
1
star
10

Pipes

A Python variant with Pipes and partial function completion
OCaml
1
star
11

jaustin

A set of core personal libraries for Python programming
Python
1
star
12

demos

Python demos and utilities, mostly for machine learning and image formatting
Jupyter Notebook
1
star
13

gradient-descent-tutorials

A variety of Tensorflow and Numpy implementations of the gradient descent backpropogation algorithm for simple one and two layer networks
Python
1
star
14

fancy-cd

A fancy version of the default Bash cd command that allows you to jump to previously visited directories
Python
1
star
15

pytorch-alphazero

An implementation of the 2017 DeepMind paper "Mastering the game of Go without human knowledge" for TicTacToe and Othello.
Python
1
star
16

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
1
star