dblakely

dblakely's Stars

• psf/black

  The uncompromising Python code formatter

  Language:Python40k2312.7k2.6k

• facebookresearch/faiss

  A library for efficient similarity search and clustering of dense vectors.

  Language:C++33.9k4802.6k3.8k

• Lightning-AI/pytorch-lightning

  Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.

  Language:Python29.2k2517.3k3.5k

• terryum/awesome-deep-learning-papers

  The most cited deep learning papers

  Language:TeX25.8k2k264.5k

• huggingface/datasets

  🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

  Language:Python19.9k2763k2.8k

• KaTeX/KaTeX

  Fast math typesetting for the web.

  Language:JavaScript18.9k2831.6k1.2k

• so-fancy/diff-so-fancy

  Good-lookin' diffs. Actually… nah… The best-lookin' diffs. :tada:

  Language:Perl17.5k115288338

• google-deepmind/deepmind-research

  This repository contains implementations and illustrative code to accompany DeepMind publications

  Language:Jupyter Notebook13.7k3273322.6k

• arogozhnikov/einops

  Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

  Language:Python8.8k66191364

• deepspeedai/DeepSpeedExamples

  Example models using DeepSpeed

  Language:Python6.4k725481.1k

• lucidrains/DALLE-pytorch

  Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch

  Language:Python5.6k95277637

• JonathanSalwan/Triton

  Triton is a dynamic binary analysis library. Build your own program analysis tools, automate your reverse engineering, perform software verification or just emulate code.

  Language:C++3.7k134975544

• facebookresearch/fairscale

  PyTorch extensions for high performance and large scale training.

  Language:Python3.3k49362286

• facebookresearch/DPR

  Dense Passage Retriever - is a set of tools and models for open domain Q&A task.

  Language:Python1.8k22210308

• benhamner/Metrics

  Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave

  Language:Python1.6k8620456

• cdpierse/transformers-interpret

  Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.

  Language:Jupyter Notebook1.3k1979100

• lucidrains/performer-pytorch

  An implementation of Performer, a linear attention-based transformer, in Pytorch

  Language:Python1.1k1786145

• NVIDIA/gdrcopy

  A fast GPU memory copy library based on NVIDIA GPUDirect RDMA technology

  Language:C++1k55196154

• soskek/bookcorpus

  Crawl BookCorpus

  Language:Python8261715109

• princeton-nlp/PURE

  [NAACL 2021] A Frustratingly Easy Approach for Entity and Relation Extraction https://arxiv.org/abs/2010.12812

  Language:Python8021264122

• thunlp/DocRED

  Dataset and codes for ACL 2019 DocRED: A Large-Scale Document-Level Relation Extraction Dataset.

  Language:Python6361780110

• facebookresearch/FiD

  Fusion-in-Decoder

  Language:Python563832109

• 131250208/TPlinker-joint-extraction

  Language:Jupyter Notebook45868894

• mlpen/Nystromformer

  Language:Python37691842

• facebookresearch/PAQ

  Code and data to support the paper "PAQ 65 Million Probably-Asked Questions andWhat You Can Do With Them"

  Language:Python20215919

• wzhouad/ATLOP

  Source code for paper "Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling", AAAI 2021

  Language:Python20233140

• lucidrains/marge-pytorch

  Implementation of Marge, Pre-training via Paraphrasing, in Pytorch

  Language:Python7511611

• uma-pi1/OPIEC

  Reading the data from OPIEC - an Open Information Extraction corpus

  Language:Java36426

• robbmcleod/cpufeature

  Python module for detection of CPU features

  Language:C283138

• samuelbroscheit/open_knowledge_graph_embeddings

  Code to train open knowledge graph embeddings and to create a benchmark for open link prediction.

  Language:Python25367