dsontag

dsontag's Stars

• langchain-ai/langchain

  🦜🔗 Build context-aware reasoning applications

  Language:Python86.4k6596.9k13.4k

• meta-llama/llama

  Inference code for Llama models

  Language:Python53.7k5089239.3k

• run-llama/llama_index

  LlamaIndex is a data framework for your LLM applications

  Language:Python32.3k2324.1k4.4k

• huggingface/peft

  🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

  Language:Python14.4k1079141.3k

• stanfordnlp/dspy

  DSPy: The framework for programming—not prompting—foundation models

  Language:Python12.1k115487928

• allenai/allennlp

  An open-source NLP research library, built on PyTorch.

  Language:Python11.7k2792.6k2.2k

• 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:Python10.3k1942.1k2.2k

• mosaicml/composer

  Supercharge Your Model Training

  Language:Python5k52524400

• CarperAI/trlx

  A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)

  Language:Python4.4k49283464

• alpa-projects/alpa

  Training and serving large-scale neural networks with auto parallelization.

  Language:Python3k45295344

• google-research/t5x

  Language:Python2.5k38135293

• allenai/RL4LMs

  A modular RL library to fine-tune language models to human preferences

  Language:Python2.1k2654190

• Franck-Dernoncourt/NeuroNER

  Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.

  Language:Python1.7k79151480

• mit-han-lab/smoothquant

  [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models

  Language:Python1.1k1979121

• basetenlabs/truss

  The simplest way to serve AI/ML models in production

  Language:Python8481111258

• mlmed/torchxrayvision

  TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.

  Language:Jupyter Notebook8441873207

• lucidrains/enformer-pytorch

  Implementation of Enformer, Deepmind's attention network for predicting gene expression, in Pytorch

  Language:Python399173569

• callahantiff/OMOP2OBO

  OMOP2OBO: A Python Library for mapping OMOP standardized clinical terminologies to Open Biomedical Ontologies

  Language:Jupyter Notebook79104612

• microsoft/LiST

  Lite Self-Training

  Language:Python29637

• babylonhealth/primock57

  Dataset of 57 mock medical primary care consultations: audio, consultation notes, human utterance-level transcripts.

  Language:Python2830010

• AlaaLab/ETAB

  [ NeurIPS 2022 ] Official Codebase for "ETAB: A Benchmark Suite for Visual Representation Learning in Echocardiography"

  Language:Jupyter Notebook233211

• som-shahlab/ehr_ml

  Code for doing machine learning with various EHRs

  Language:C++188223

• multilexsum/dataset

  Multi-LexSum is an abstractive summarization dataset for US Civil Rights Lawsuits

  Language:Jupyter Notebook17010

• OHDSI/PheValuator

  An R package for evaluating phenotype algorithms.

  Language:R179397

• thanosvlo/Twin_Causal_Nets

  Estimating the probabilities of caution via deep monotonic twin networks

  Language:Python174

• clinicalml/cotrain-prompting

  Code for co-training large language models (e.g. T0) with smaller ones (e.g. BERT) to boost few-shot performance

  Language:Python161703

• hunterlang/weaksup-subset-selection

  Subset selection / data pruning for weak supervision

  Language:Python143

• zmek/real-time-admissions

  Code to accompany paper published in Nature Digital Medicine

  Language:R81

• clinicalml/parametric-robustness-evaluation

  Code for paper "Evaluating Robustness to Dataset Shift via Parametric Robustness Sets"

  Language:Python5802

• clinicalml/large-scale-temporal-shift-study

  Code for Large-Scale Study of Temporal Shift in Health Insurance Claims. Christina X Ji, Ahmed M Alaa, David Sontag. CHIL, 2023. https://arxiv.org/abs/2305.05087

  Language:Python476