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ahash

aHash is a non-cryptographic hashing algorithm that uses the AES hardware instruction

antialiased-cnns

Antialiasing cnns to improve stability and accuracy. In ICML 2019.

assembled-cnn

Official implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"

awesome-data-deduplication

An awesome list of data deduplication use cases, papers, tools, and methods.

bff

biglittlenet

Official repository for Big-Little Net

candle

Minimalist ML framework for Rust

charset-normalizer-rs_original

Truly universal encoding detector in pure Rust - port of Python version

chash

Consistent HashRing

chris-ha458

clrs-rs

CLRS pseudocode in rust

cmt_cnn-meet-vision-transformer

A PyTorch implementation of CMT based on paper CMT: Convolutional Neural Networks Meet Vision Transformers.

counter-rs

Simple object to count Rust iterables

dashmap

Blazing fast concurrent HashMap for Rust.

data_tooling

Tools for managing datasets for governance and training.

datasketch

MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble

dfdx_cifar

documentation

dolma

Data and tools for generating and inspecting OLMo pre-training data.

dps

Data processing system for polyglot

elara

Work-in-progress educational programming game

esaxx-rs

Bindings to copy of SentencePiece esaxx library (fast suffix array and frequent substrings).

fast-counter

Faster concurrent atomic number updates

gpt-neox

An implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library.

highway-rs

Native Rust port of Google's HighwayHash, which makes use of SIMD instructions for a fast and strong hash function

hugo-theme-hello-friend-ng

Pretty basic theme for Hugo that covers all of the essentials. All you have to do is start typing!

itertools

Extra iterator adaptors, iterator methods, free functions, and macros.

kornia

Open Source Differentiable Computer Vision Library for PyTorch

llm

An ecosystem of Rust libraries for working with large language models