austinvhuang

gpu.cpp

A lightweight library for portable low-level GPU computation using WebGPU.

awesome-haskell-deep-learning

In the tradition of "awesome" (curated) lists, this is a list of references and code for doing deep learning in Haskell.

HCMTools

Haskell toolbox for research and teaching in classical mechanics. Includes modules for symbolic algebra and automatic differentiation.

libtorch-experiments

openmemex

Open source, local-first knowledge platform.

pytorch-sqlite

Example using sqlite with a Pytorch Dataset Interface

sim2real-docs

Synthesize image datasets of documents in natural scenes with Python+Blender3D

gemma.cpp

lightweight, standalone C++ inference engine for Google's Gemma models.

annotated-transformer

An annotated implementation of the Transformer paper.

hasktorch

Tensors and neural networks in Haskell

austinvhuang/awesome-haskell-deep-learning

In the tradition of "awesome" (curated) lists, this is a list of references and code for doing deep learning in Haskell.

austinvhuang/openmemex

Open source, local-first knowledge platform.

austinvhuang/pytorch-sqlite

Example using sqlite with a Pytorch Dataset Interface

austinvhuang/libtorch-experiments

austinvhuang/abox242

Archive of Andrew J. Turner's Analog Box 2 Source Code - https://sites.google.com/site/analogbox2/download

austinvhuang/hello-monad

Trivial (~30 LOC) "hello world" examples of commonly used monad classes.

austinvhuang/annotated-transformer

http://nlp.seas.harvard.edu/2018/04/03/attention.html

austinvhuang/dawn-artifacts

austinvhuang/gemma.cpp

lightweight, standalone C++ inference engine for Google's Gemma models.

austinvhuang/sketch-minimal-critic

austinvhuang/state-logger

Trivially minimal state log for python, primarily for machine learning experimentation

austinvhuang/vkcompute

Minimal starter project for experimenting with vulkan for GPGPU computation

austinvhuang/awesome-autodiff

austinvhuang/c2hsc

Utility for creating .hsc files from C API header files

austinvhuang/deep-review

A collaboratively written review paper on deep learning, genomics, and precision medicine

austinvhuang/examples

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

austinvhuang/guide

The Student's Guide to @lintool

austinvhuang/haskell-servant-cookbook

Haskell Servant Cookbook

austinvhuang/hasktorch

Tensors and neural networks in Haskell

austinvhuang/hasktorch-huggingface-stack-skeleton

austinvhuang/MiDaS

Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"

austinvhuang/minitorch-js

Minitorch in javascript

austinvhuang/plot

Simple plotting tool for the terminal

austinvhuang/PortMidi

A Haskell module for PortMidi audio library.

austinvhuang/pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

austinvhuang/shaders

Circle C++ shaders

austinvhuang/summer-of-haskell

Source code of summer.haskell.org

austinvhuang/wgpu-native

Native WebGPU implementation based on wgpu-core

austinvhuang/whisper.cpp

Port of OpenAI's Whisper model in C/C++

austinvhuang/yew

Rust / Wasm framework for building client web apps