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aicsimageio

Image Reading, Metadata Conversion, and Image Writing for Microscopy Images in Python

al-folio

A beautiful, simple, clean, and responsive Jekyll theme for academics

apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

augmix

AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty

awesome-autodl

A curated list of automated deep learning (including neural architecture search and hyper-parameter optimization) resources.

awesome-bioie

🧫 A curated list of resources relevant to doing Biomedical Information Extraction (including BioNLP)

awesome-hand-pose-estimation

Awesome work on hand pose estimation/tracking

biosentvec

BioWordVec & BioSentVec: pre-trained embeddings for biomedical words and sentences

birads_extraction

caffe

Caffe: a fast open framework for deep learning.

causica

cl-infonce

An official implementation of Cl-InfoNCE

clam

Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering

cmpa

cocoapi

COCO API - Dataset @ http://cocodataset.org/

daisy_public

Public repository supporting the paper of the DAISY study.

dassl.pytorch

A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.

deepcad-breast-cancer

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

docs

TensorFlow documentation

domainbed

DomainBed is a suite to test domain generalization algorithms

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

econml

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal in

efficientnet-pytorch

A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!)

efficientnetv2.pytorch

PyTorch implementation of EfficientNetV2 family

end2end-all-conv

Deep Learning to Improve Breast Cancer Detection on Screening Mammography

everything_at_once

This is the official implementation of "Everything at Once - Multi-modal Fusion Transformer for Video Retrieval".

fasttext

Library for fast text representation and classification.

findpapers

Findpapers: A tool for helping researchers who are looking for related works