jairsan

jairsan's Stars

• google-research/tuning_playbook

  A playbook for systematically maximizing the performance of deep learning models.

  27.9k293432.3k

• unslothai/unsloth

  Finetune Llama 3.3, Mistral, Phi-4, Qwen 2.5 & Gemma LLMs 2-5x faster with 70% less memory

  Language:Python20.9k1361.2k1.5k

• alshedivat/al-folio

  A beautiful, simple, clean, and responsive Jekyll theme for academics

  Language:HTML11.9k2859911.5k

• NVlabs/stylegan2

  StyleGAN2 - Official TensorFlow Implementation

  Language:Python11k37102.5k

• cortexlabs/cortex

  Production infrastructure for machine learning at scale

  Language:Go8k1451.1k608

• a-b-street/abstreet

  Transportation planning and traffic simulation software for creating cities friendlier to walking, biking, and public transit

  Language:Rust7.8k79559353

• fireice-uk/xmr-stak

  Free Monero RandomX Miner and unified CryptoNight miner

  Language:C++4.1k3121.9k1.8k

• facebookresearch/LASER

  Language-Agnostic SEntence Representations

  Language:Jupyter Notebook3.6k89211462

• syhw/wer_are_we

  Attempt at tracking states of the arts and recent results (bibliography) on speech recognition.

  1.9k21623226

• coqui-ai/open-speech-corpora

  💎 A list of accessible speech corpora for ASR, TTS, and other Speech Technologies

  1.3k57199141

• google-research/deduplicate-text-datasets

  Language:Rust1.2k1343113

• lzhbrian/image-to-image-papers

  🦓<->🦒 🌃<->🌆 A collection of image to image papers with code (constantly updating)

  1.1k4915156

• mjpost/sacrebleu

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

  Language:Python1.1k19158165

• pbloem/former

  Simple transformer implementation from scratch in pytorch.

  Language:Python1.1k2134168

• facebookresearch/mega

  Sequence modeling with Mega.

  Language:Python2971261628

• facebookarchive/Polygames

  The project is a platform of zero learning with a library of games.

  Language:C++265191152

• neulab/word-embeddings-for-nmt

  Supplementary material for "When and Why Are Pre-trained Word Embeddings Useful for Neural Machine Translation?" at NAACL 2018

  Language:Python1219519

• HsinYingLee/MDMM

  Learning multi-domain multi-modality I2I translation

  Language:Python1108318

• Nestak2/image-sorter2

  One-click image sorting/labelling script

  Language:Python875440

• pmichel31415/jsalt-2019-mt-tutorial

  MT Tutorial for the JSALT 2019 Summer School

  Language:Python489015

• rwth-i6/sisyphus

  A Workflow Manager in Python

  Language:Python45107625

• besacier/AMMIcourse

  Language:Jupyter Notebook426027

• mt-upc/SHAS

  SHAS: Approaching optimal Segmentation for End-to-End Speech Translation

  Language:Python37654

• danliu2/caat

  Language:Python342142

• DeuroIO/Stanford-CS-224S-Speech-Recognition

  Language:HTML26308

• isl-mt/SLT.KIT

  Spoken Language Translation System

  Language:C++196014

• mt-upc/transformer-contributions-nmt

  Language:Jupyter Notebook17647

• rwth-i6/i6_core

  Sisyphus recipies for ASR

  Language:Python16138823

• jairsan/Speech_Translation_Segmenter

  This repository contains the code of segmentation system proposed in "Direct Segmentation Models for Streaming Speech Translation"

  Language:Python7300

• jiwidi/asr-transformer

  Language:Python120