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ada_zero_shot

Adaptive learning of image properties

affordance_ranking

Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

attentiondeepmil

Implementation of Attention-based Deep Multiple Instance Learning in PyTorch

clam

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

covid-ct

COVID-CT-Dataset: A CT Scan Dataset about COVID-19

egodepthnormal

github-slideshow

A robot powered training repository :robot:

histcode

Contrastive learning-based computational histopathology predict differential expression of cancer driver genes

mae-pytorch

Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners

mars

Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.

mil-nature-medicine-2019

nerf-test

Code release for NeRF (Neural Radiance Fields)

pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

python

All Algorithms implemented in Python

qqbot

一个会发色图、会聊*、会进行数据分析以及自然语言处理的沙雕多功能机器人。

qqdecrpt

QQ数据库破解算法，并查询出所有聊天记录

shiarthur03

simclr

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

simclr-1

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

taskmodularnets

A set of neural network modules, which are small fully connected layers operating in semantic concept space. These modules are configured through a gating function conditioned on the task to produce features representing the compatibility between the input image and the concept under consideration.

xorbits

Scalable Python data science, in an API compatible & lightning fast way.