Stars
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
A small seq2seq punctuator tool based on DistilBERT
VIP cheatsheets for Stanford's CS 229 Machine Learning
multilabel classification of EHR notes
ICD-BERT: Multi-label Classification of ICD-10 Codes with BERT (CLEF 2019)
Github repo with tutorials to fine tune transformers for diff NLP tasks
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
This repository includes the source code used in nlp4life@clef2020eHealth and fine-tuning BERT for multilabel sequence classification using HuggingFace Transformer.
Multi-Filter Residual Convolutional Neural Network for Text Classification
multilabel classification of EHR notes
Ready-to-run Docker images containing Jupyter applications
Implementation for "AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification"
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
A PyTorch Implementation of Focal Loss.
😎 A curated list of awesome MLOps tools
Comparison of ML Life Cycle Management (Experiment Tracking, Model Management, etc.): MLflow, DVC, Pachyderm, Sacred, Polyaxon, Allegro Trains, VertaAI ModelDB, Kubeflow Katib, Guild AI, Kubeflow M…
ianhutomo / docker_and_kubernetes_essentials
Forked from aishwaryaprabhat/docker_and_kubernetes_essentialsThis repository is a work-in-progress that will hold onto tutorials, cheatsheets, tips and best practices related to Docker and Kubernetes (and a bit of Travis CI and AWS).
Infrastructures™ for Machine Learning Training/Inference in Production.
MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases
Curated list of project-based tutorials
Bootstrap yourself to write an OS from scratch. A book for self-learner.
An open-source, low-code machine learning library in Python
⚡ A Fast, Extensible Progress Bar for Python and CLI