chunchiehy

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

linux-insides

A little bit about a linux kernel

fastText

Library for fast text representation and classification.

mdBook

Create book from markdown files. Like Gitbook but implemented in Rust

redox

Mirror of https://gitlab.redox-os.org/redox-os/redox

sentence-transformers

State-of-the-Art Text Embeddings

ganhacks

starter from "How to Train a GAN?" at NIPS2016

tokenizers

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

pyro

Deep universal probabilistic programming with Python and PyTorch

cxx

Safe interop between Rust and C++

evcxr

linfa

A Rust machine learning framework.

ndarray

ndarray: an N-dimensional array with array views, multidimensional slicing, and efficient operations

dynet

DyNet: The Dynamic Neural Network Toolkit

improved_wgan_training

Code for reproducing experiments in "Improved Training of Wasserstein GANs"

subword-nmt

Unsupervised Word Segmentation for Neural Machine Translation and Text Generation

SentEval

A python tool for evaluating the quality of sentence embeddings.

pytorch-struct

Fast, general, and tested differentiable structured prediction in PyTorch

sacrebleu

Reference BLEU implementation that auto-downloads test sets and reports a version string to facilitate cross-lab comparisons

vim-latex-live-preview

A Vim Plugin for Lively Previewing LaTeX PDF Output

tikz-bayesnet

TikZ library for drawing Bayesian networks, graphical models and (directed) factor graphs in LaTeX.

language-style-transfer

sacremoses

Python port of Moses tokenizer, truecaser and normalizer

coloremoji.sty

Style package for directly including color emojis in latex documents

maxima-jupyter

A Maxima kernel for Jupyter, based on CL-Jupyter (Common Lisp kernel)

graph-prediction-with-fused-gromov-wasserstein

Python implementation of the supervised graph prediction method proposed in http://arxiv.org/abs/2202.03813 using PyTorch library and POT library (Python Optimal Transport).

metabolite-identification-with-fused-gromov-wasserstein

Python implementation of the supervised graph prediction method proposed in http://arxiv.org/abs/2202.03813 for solving the metabolite identification problem.