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azure-storage-cpp

Microsoft Azure Storage Client Library for C++

bidmat

A CPU and GPU-accelerated matrix library for data mining

bidparse

GPU-accelerated natural language parser

breeze

Breeze is a library for numerical processing, machine learning, and natural language processing. Its primary focus is on being generic, clean, and powerful without sacrificing (much) efficiency. Breeze is the merger of the ScalaNLP and Scalala projects, because one of the original maintainers is unable to continue development. The Scalala parts are largely rewritten.

breeze-config

Configuration library from Breeze. Simple specification of options (case class)

breeze-macros

Macros used in Breeze

bwapi

Brood War API

cs252

CS252 final project

dotty

The Scala 3 compiler, also known as Dotty.

draccus

Configuration with Dataclasses+YAML+Argparse. Fork of Pyrallis

dynet

DyNet: The Dynamic Neural Network Toolkit

epic

**Archived** Epic is a high performance statistical parser written in Scala, along with a framework for building complex structured prediction models.

epic-demo

epic-models

Models for dlwh/epic

equinox

Elegant easy-to-use neural networks in JAX. https://docs.kidger.site/equinox/

erector

Miscellaneous machine learning tools

fairscale

PyTorch extensions for high performance and large scale training.

filesystem_spec

A specification that python filesystems should adhere to.

flan-2

fsspec-debug

Debugging question for interviews

git-sim

A tool to run sims (experiments) and store the results in git.

gust

Gust is a set of GPU extensions for Breeze.

hfseqio

Extensions for Google's SeqIO library to make it play nice with Huggingface's ecosystem

historical

html2text

Convert HTML to Markdown-formatted text.

igor

Scala experiment management framework

jax

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

jcores

jQuery for Java ... sort of

jcuda-maven

Mavenized and jniloaderized JCuda (0.5.5)

levanter-midi

Experiments with Jax and TPUs for Foundation Models - modified tokens for lakh