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awesome-self-supervised-learning

A curated list of awesome self-supervised methods

bdd_driving_model

best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

big-sleep

A simple command line tool for text to image generation, using OpenAI's CLIP and a BigGAN

building-machine-learning-pipelines

Code repository for the O'Reilly publication "Building Machine Learning Pipelines" by Hannes Hapke & Catherine Nelson

cell-nuclei-detection-and-segmentation

Detect location and draw boundary of nuclei from microscopic images

clinical-trial-parser

Library for converting clinical trial eligibility criteria to a machine-readable format.

clip

Contrastive Language-Image Pretraining

cocoapi

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

covid-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

covid-19-data

An ongoing repository of data on coronavirus cases and deaths in the U.S.

covid-chestxray-dataset

We are building an open database of COVID-19 cases with chest X-ray or CT images.

crowdsourcingdataset-amgadetal2019

Use this to download all elements of the dataset described in: Amgad M, Elfandy H, ..., Gutman DA, Cooper LAD. Structured crowdsourcing enables convolutional segmentation of histology images. Bioinformatics. 2019. doi: 10.1093/bioinformatics/btz083

dalle-mtf

Open-AI's DALL-E for large scale training in mesh-tensorflow.

davidsoong

Config files for my GitHub profile.

deeplearning

deeppath

Classification of Lung cancer slide images using deep-learning

gdl_code

The official code repository for examples in the O'Reilly book 'Generative Deep Learning'

gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

gpt-neo

An implementation of model parallel GPT2& GPT3-like models, with the ability to scale up to full GPT3 sizes (and possibly more!), using the mesh-tensorflow library.

histomicstk

A Python toolkit for pathology image analysis algorithms.

hover_net

Simultaneous Nuclear Instance Segmentation and Classification in H&E Histology Images.

hub

A library for transfer learning by reusing parts of TensorFlow models.

nerf

Code release for NeRF (Neural Radiance Fields)

nerfstudio

A collaboration friendly studio for NeRFs

neuraltalk

NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.

neuraltalk2

Efficient Image Captioning code in Torch, runs on GPU

nmt

TensorFlow Neural Machine Translation Tutorial

nnunet

nucls

NuCLS: A scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation