Austin Huang's repositories

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.

openmemex

Open source, local-first knowledge platform.

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pytorch-sqlite

Example using sqlite with a Pytorch Dataset Interface

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hello-monad

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

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abox242

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

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annotated-transformer

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

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crayon-hs

A Haskell client to crayon. Implements a servant client implementation of the crayon API.

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gemma.cpp

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

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state-logger

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

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vkcompute

Minimal starter project for experimenting with vulkan for GPGPU computation

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c2hsc

Utility for creating .hsc files from C API header files

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deep-review

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

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examples

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

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guide

The Student's Guide to @lintool

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haskell-servant-cookbook

Haskell Servant Cookbook

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hasktorch

Tensors and neural networks in Haskell

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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"

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minitorch-js

Minitorch in javascript

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plot

Simple plotting tool for the terminal

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PortMidi

A Haskell module for PortMidi audio library.

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pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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shaders

Circle C++ shaders

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summer-of-haskell

Source code of summer.haskell.org

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wgpu-native

Native WebGPU implementation based on wgpu-core

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whisper.cpp

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

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yew

Rust / Wasm framework for building client web apps

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