-
National University of Singapore
Highlights
- Pro
Stars
HAKES: Efficient Data Search with Embedding Vectors at Scale
yangzhou12 / awesome-medical-vision-language-models
Forked from fahadshamshad/awesome-transformers-in-medical-imagingA collection of resources on Medical Vision-Language Models
A list of VLMs tailored for medical RG and VQA; and a list of medical vision-language datasets
The official codes for "PMC-LLaMA: Towards Building Open-source Language Models for Medicine"
Code and documentation to train Stanford's Alpaca models, and generate the data.
An Efficient Storage Engine for Blockchain and Forkable Applications
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
Methods and Implements of Deep Clustering
Pytorch implementation of Supporting Clustering with Contrastive Learning, NAACL 2021
MIMIC-Extract:A Data Extraction, Preprocessing, and Representation Pipeline for MIMIC-III
A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code
A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code.
A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)
A data augmentations library for audio, image, text, and video.
A ready-to-use framework of the state-of-the-art models for structured (tabular) data learning with PyTorch. Applications include recommendation, CRT prediction, healthcare analytics, anomaly detec…
Interesting resources related to XAI (Explainable Artificial Intelligence)
Python suite to construct benchmark machine learning datasets from the MIMIC-III 💊 clinical database.
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
Synthetic Patient Population Simulator
Google's Engineering Practices documentation
Code for EMNLP 2019 paper "Attention is not not Explanation"
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.