SamuelLarkin

COMET

A Neural Framework for MT Evaluation

difftastic

a structural diff that understands syntax 🟥🟩

hyperfine

A command-line benchmarking tool

marian

Fast Neural Machine Translation in C++

nltk

NLTK Source

reservoir_sampling

Reservoir Sampling

reservoir_sampling.nim

Reservoir Sampling in nim

sockeye

Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet

stable-diffusion-webui

Stable Diffusion web UI

tig

Text-mode interface for git

tokenizers

💥 Fast State-of-the-Art Tokenizers optimized for Research and Production

ugrep

🔍NEW ugrep v3.9: ultra fast grep with interactive TUI, fuzzy search, boolean queries, hexdumps and more: search file systems, source code, text, binary files, archives (cpio/tar/pax/zip), compressed files (gz/Z/bz2/lzma/xz/lz4/zstd), documents etc. A faster, user-friendly and compatible grep replacement.

accelerate

🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision

config

Linux configuration files

reservoir_sampling.rs

Reservoir Sampling in Rust

coreutils

Cross-platform Rust rewrite of the GNU coreutils

delta

A syntax-highlighting pager for git, diff, and grep output

dotfiles

FastSpeech2

An implementation of Microsoft's "FastSpeech 2: Fast and High-Quality End-to-End Text to Speech"

get_voc.rs

A Rust implementation of get_voc.

LazyVim

Neovim config for the lazy

MateCat

MateCat is an AI driven translation tool for language industry professionals. Matecat makes machine translation post-editing and project outsourcing easy.

Montreal-Forced-Aligner

Command line utility for forced alignment using Kaldi

mtdata

A tool that locates, downloads, and extracts machine translation corpora

ngram

Ngram or cbow generators for Python

rust-how-do-i-start

Hand curated advice and pointers for getting started with Rust

rustlings

:crab: Small exercises to get you used to reading and writing Rust code!

Slurm-Graph

Display job dependencies as a tree

tmux

tmux source code

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.