jacobaustin123 Goto Github PK

cayman

Cayman is a Jekyll theme for GitHub Pages

char-rnn-tensorflow

Multi-layer long short-term memory (LSTM) char-level neural network implemented in Tensorflow

columbia-course-parser

A simple script to parse a page of the Columbia Directory of Classes into a useable class, and cross reference it with the CULPA gold and silver nugget rankings

computational-tools

Tools for scientific computing and optimization, including gradient descent and Newton optimizers, as well as scientific animation and visualization tools.

coral

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

demos

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

espresso

examples

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

fancy-cd

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

gradient-descent-tutorials

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

jacobaustin123.github.io

Build a Jekyll blog in minutes, without touching the command line.

jaustin

A set of core personal libraries for Python programming

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

mrf

GDAL-compatible file format driver designed for fast access to imagery

nerf-pytorch

A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.

onearth

High-performance web services for tiled raster imagery

open_spiel

OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.

pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

pipes

A Python variant with Pipes and partial function completion

python-c-api-cuda-tutorial

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

pytorch-alphazero

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

pytorch-dqn

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

pytorch-inpainting-partial-conv

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

pytorch-inpainting-with-partial-conv

Unofficial pytorch implementation of 'Image Inpainting for Irregular Holes Using Partial Convolutions' [Liu+, ECCV2018]

reinforcement-learning

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

renderer

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

rippl

seam-carving

Python and C++ implementations of the dynamic programming seam carving algorithm

stl-parser

A simple parser for binary .stl geometry files in C++.

style-transfer

Sample implementations of image-based style transfer in PytTorch