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Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
stefanhgm / YouCompleteMe
Forked from ycm-core/YouCompleteMeA code-completion engine for Vim
stefanhgm / the-elements-of-statistical-learning-notebooks
Forked from dgkim5360/the-elements-of-statistical-learning-notebooksJupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Friedman
Machine Learning for Healthcare 2018 - Reproducible Survival Prediction with SEER Cancer Data
stefanhgm / mgp-tcn
Forked from BorgwardtLab/mgp-tcnSepsis Prediction on MIMIC
stefanhgm / CliniQG4QA
Forked from sunlab-osu/CliniQG4QACliniQG4QA: Generating Diverse Questions for Domain Adaptation of Clinical Question Answering
stefanhgm / interpret
Forked from interpretml/interpretFit interpretable models. Explain blackbox machine learning.
A web-based user interface to visualize and inspect Explainable Boosting Machines.
stefanhgm / prancer
Forked from clinicalml/prancerPlatform enabling Rapid Annotation for Clinical Entity Recognition
stefanhgm / t-zero
Forked from bigscience-workshop/t-zeroReproduce results and replicate training fo T0 (Multitask Prompted Training Enables Zero-Shot Task Generalization)
stefanhgm / VIME
Forked from jsyoon0823/VIMECodebase for VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain - NeurIPS 2020
An annotated implementation of the Transformer paper.
stefanhgm / t-few
Forked from r-three/t-fewCode for T-Few from "Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning"
stefanhgm / mimic-code
Forked from MIT-LCP/mimic-codeMIMIC Code Repository: Code shared by the research community for the MIMIC family of databases
Development and Validation of an Interpretable 3-day Intensive Care Unit Readmission Prediction Model Using Explainable Boosting Machines
stefanhgm / micrograd
Forked from karpathy/microgradA tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
stefanhgm / mteb
Forked from embeddings-benchmark/mtebMTEB: Massive Text Embedding Benchmark
Code for "A Data-Centric Approach To Generate Faithful and High Quality Patient Summaries with Large Language Models"
stefanhgm / llm2vec
Forked from McGill-NLP/llm2vecCode for 'LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders'
A benchmark for few-shot evaluation of foundation models for electronic health records (EHRs)
Easily scrape cryptocoin prices with R
Repository for the paper "Automated Hate Speech Detection and the Problem of Offensive Language", ICWSM 2017