philipchung

philipchung's Stars

• ThilinaRajapakse/simpletransformers

  Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI

  Language:Python4.1k728

• NVIDIA/libnvidia-container

  NVIDIA container runtime library

  Language:C829204

• NVIDIA/nvidia-docker

  Build and run Docker containers leveraging NVIDIA GPUs

  17.2k2k

• HazyResearch/metal

  Snorkel MeTaL: A framework for training models with multi-task weak supervision

  Language:Python42379

• google/fhir

  FHIR Protocol Buffers

  Language:C++833190

• google/trax

  Trax — Deep Learning with Clear Code and Speed

  Language:Python8.1k814

• huggingface/tokenizers

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

  Language:Rust9k795

• microsoft/vscode-remote-try-python

  Python sample project for trying out Dev Containers

  Language:Python7701.6k

• huggingface/knockknock

  🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code

  Language:Python2.8k234

• dmis-lab/biobert

  Bioinformatics'2020: BioBERT: a pre-trained biomedical language representation model for biomedical text mining

  Language:Python1.9k451

• EmilyAlsentzer/clinicalBERT

  repository for Publicly Available Clinical BERT Embeddings

  Language:Python669135

• kexinhuang12345/clinicalBERT

  ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission (CHIL 2020 Workshop)

  Language:Jupyter Notebook37797

• haoyuhu/bert-multi-gpu

  Feel free to fine tune large BERT models with Multi-GPU and FP16 support.

  Language:Python19245

• NVIDIA/Megatron-LM

  Ongoing research training transformer models at scale

  Language:Python10.4k2.3k

• jcjohnson/cnn-benchmarks

  Benchmarks for popular CNN models

  Language:Python2.5k408

• plaidml/plaidml

  PlaidML is a framework for making deep learning work everywhere.

  Language:C++4.6k398

• pytorch/elastic

  PyTorch elastic training

  Language:Python73198

• fastai/fastprogress

  Simple and flexible progress bar for Jupyter Notebook and console

  Language:Jupyter Notebook1.1k106

• ucbrise/clipper

  A low-latency prediction-serving system

  Language:C++1.4k280

• alirezadir/Production-Level-Deep-Learning

  A guideline for building practical production-level deep learning systems to be deployed in real world applications.

  4.3k645

• fastai/course-nlp

  A Code-First Introduction to NLP course

  Language:Jupyter Notebook3.4k1.5k

• google-research/text-to-text-transfer-transformer

  Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"

  Language:Python6.2k756

• dylanaraps/pure-bash-bible

  📖 A collection of pure bash alternatives to external processes.

  Language:Shell36.5k3.3k

• allenai/scibert

  A BERT model for scientific text.

  Language:Python1.5k217

• naver/biobert-pretrained

  BioBERT: a pre-trained biomedical language representation model for biomedical text mining

  66088

• NVIDIA/NeMo

  A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

  Language:Python12k2.5k

• wikipedia2vec/wikipedia2vec

  A tool for learning vector representations of words and entities from Wikipedia

  Language:Python938103

• pzivich/zEpid

  Epidemiology analysis package

  Language:Python14133

• pzivich/Python-for-Epidemiologists

  Tutorial in Python targeted at Epidemiologists. Will discuss the basics of analysis in Python 3

  Language:Jupyter Notebook15838

• fastai/course-v3

  The 3rd edition of course.fast.ai

  Language:Jupyter Notebook4.9k3.6k