sordonia's Stars
microsoft/DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Lightning-AI/pytorch-lightning
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
Dao-AILab/flash-attention
Fast and memory-efficient exact attention
mlfoundations/open_clip
An open source implementation of CLIP.
stanfordnlp/stanza
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
facebookresearch/dino
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
princeton-nlp/SimCSE
[EMNLP 2021] SimCSE: Simple Contrastive Learning of Sentence Embeddings https://arxiv.org/abs/2104.08821
tristandeleu/pytorch-meta
A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch
Maluuba/nlg-eval
Evaluation code for various unsupervised automated metrics for Natural Language Generation.
harvardnlp/pytorch-struct
Fast, general, and tested differentiable structured prediction in PyTorch
yikangshen/Ordered-Neurons
Code for the paper "Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks"
neelsjain/BYOD
The Official Repository for "Bring Your Own Data! Self-Supervised Evaluation for Large Language Models"
taoyang1122/GradAug
[NeurIPS'20] GradAug: A New Regularization Method for Deep Neural Networks
iesl/diora
Deep Inside-Outside Recursive Autoencoder
microsoft/mttl
Building modular LMs with parameter-efficient fine-tuning.
lena-voita/description-length-probing
This is a repository with the code for the EMNLP 2020 paper "Information-Theoretic Probing with Minimum Description Length"
aetting/lm-diagnostics
Diagnostic tests for linguistic capacities in language models
cpllab/syntactic-generalization
Code and data for "A Systematic Assessment of Syntactic Generalization in Neural Language Models"
GabPrato/DailyArXiv
Search daily arXiv releases.