GitHub / srush
Total Commits: 284
srush/pydecode
Commits: 469
OpenNMT/OpenNMT-py
Open Source Neural Machine Translation and (Large) Language Models in PyTorch
Commits: 284
Helsinki-NLP/mammoth
Commits: 284
pschwllr/MolecularTransformer
Commits: 284
henry-e/surface_realization_opennmt-py
A mirror of opennmt for the surface realization task
Commits: 284
rxn4chemistry/OpenNMT-py
Commits: 284
justinchiu/var-attn
Commits: 279
harvardnlp/pytorch-struct
Fast, general, and tested differentiable structured prediction in PyTorch
Commits: 199
da03/torch_struct
Commits: 196
chalk-diagrams/chalk
Commits: 171
viirya/llama2.rs
Commits: 99
nikhilweee/syntactic-seq2seq
Commits: 78
da03/wildvisualizer
Commits: 62
serre-lab/brownunconference
Commits: 42
srush/autodiff-puzzles
Commits: 40
srush/mrf-lm
Commits: 36
harvardnlp/seq2seq-talk
Commits: 30
google-research/dex-lang
Research language for array processing in the Haskell/ML family
Commits: 29
opennmt/papers
Commits: 25
vantaa89/triton-puzzles
Commits: 21
bigscience-workshop/promptsource
Toolkit for creating, sharing and using natural language prompts.
Commits: 20
srush/torch-queue
Commits: 15
srush/learns-dex
Commits: 14
justinchiu/sentclass
Commits: 13
jakezhaojb/ARAE
Commits: 12
srush/SemiRings
Commits: 12
srush/temp
Commits: 11
srush/blog
Commits: 11
srush/transformers-bet
Commits: 8
srush/do-we-need-attention
Commits: 7
hendrikstrobelt/lstmvis
Visualization Toolbox for Long Short Term Memory networks (LSTMs)
Commits: 7
harvardnlp/paper-explorer
Commits: 7
harvardnlp/talk-latent
Commits: 7
harvardnlp/deeplatentnlp
Commits: 7
srush/drop7
Commits: 6
srush/icfp2020
Commits: 5
opennmt/docs
Commits: 5
harvardnlp/sent-summary
Commits: 5
harvardnlp/im2markup
Neural model for converting Image-to-Markup (by Yuntian Deng yuntiandeng.com)
Commits: 5
clementchadebec/transformers
Commits: 4
huggingface/transformers
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Commits: 4
mengfei25/tmp-transformers
Commits: 4
smartibase/smart-transformers
Smart Transformers are a versatile machine learning tool that can be integrated with Pytorch, TensorFlow, and JAX. Smart transformers provide accurate computations required for cryptographic algorithms. These transformers is that they are independent modules, making it efficient to experiment with various research projects related to cryptanalysis
Commits: 4
beomi/transformers-lmhead-logits
Commits: 4
srush/llm-talk
Commits: 4
adapter-hub/cpgadapters
Commits: 4
timdettmers/transformers_private
Commits: 4
kssteven418/transformers-private
Commits: 4
guoqqqi/transformers
Commits: 4
devidw/transformers
Commits: 4
microsoft/huggingface-transformers
Commits: 4
Breakend/transformers
Commits: 4
lfwa/transformers
Commits: 4
Joel-hanson/transformers
Commits: 4
shuowang-ai/transformers
Commits: 4
kssteven418/biglittledecoder
Commits: 4
joeyes0/hface
Commits: 4
huggingface/pytorch-pretrained-BERT
Commits: 4
qianzmolloy/transformers
Commits: 4
jurgen-paul/transformer.huggingface
Commits: 4
duterscmy/cd-moe
Commits: 4
dopamine0717/transformers
Commits: 4
jiajun12138/huggingface_cgra_baseline
Commits: 4
lakshmimuru/transformers
Commits: 4
adapter-hub/adapter-transformers-legacy
Commits: 4
yakupcanavci/transformers
Commits: 4
moshiiur/transformers
Commits: 4
violet-zct/swarm-distillation-zero-shot
Commits: 4
mklimasz/language-arithmetic
Commits: 4
jiajun12138/huggingface_cgra
Commits: 4