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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
DSPy: The framework for programming—not prompting—foundation models
🦜🔗 Build context-aware reasoning applications
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
LlamaIndex is a data framework for your LLM applications
Subset selection / data pruning for weak supervision
[ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models
Estimating the probabilities of caution via deep monotonic twin networks
A modular RL library to fine-tune language models to human preferences
A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)
An open-source NLP research library, built on PyTorch.
Code for co-training large language models (e.g. T0) with smaller ones (e.g. BERT) to boost few-shot performance
Implementation of Enformer, Deepmind's attention network for predicting gene expression, in Pytorch
[ NeurIPS 2022 ] Official Codebase for "ETAB: A Benchmark Suite for Visual Representation Learning in Echocardiography"
The simplest way to serve AI/ML models in production
Training and serving large-scale neural networks with auto parallelization.
Dataset of 57 mock medical primary care consultations: audio, consultation notes, human utterance-level transcripts.
Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.
Code to accompany paper published in Nature Digital Medicine
Code for paper "Evaluating Robustness to Dataset Shift via Parametric Robustness Sets"
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)
Multi-LexSum is an abstractive summarization dataset for US Civil Rights Lawsuits
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
OMOP2OBO: A Python Library for mapping OMOP standardized clinical terminologies to Open Biomedical Ontologies