YMMS

awesome-test-time-adaptation

Collection of awesome test-time (domain/batch/instance) adaptation methods

awesome-human-parsing

Grounded-Segment-Anything

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

omnimatte

imcut

3D graph cut segmentation

ALiPy

ALiPy: Active Learning in Python is an active learning python toolbox, which allows users to conveniently evaluate, compare and analyze the performance of active learning methods.

vision_transformer

ray

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

pumpkin-book

《机器学习》（西瓜书）公式详解

cnn-explainer

Learning Convolutional Neural Networks with Interactive Visualization.

anatome

Ἀνατομή is a PyTorch library to analyze representation of neural networks

book_python_gis

Source codes in Python for book 'Python in Open Source GIS'.

numpy-ml

Machine learning, in numpy

IntroStatLearn

Exercises from 'Introduction to Statistical Learning with Applications in R' written in Python.

An-Introduction-to-Statistical-Learning

This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.

ISL-python

Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.

QASystemOnMedicalGraph

该项目是基于医疗领域知识图谱的问答系统。实现比较简单。

polyaxon

MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle

awesome-starcraftAI

A curated list of resources dedicated to StarCraft AI.

croissance

Tool for estimating growth rates from microbial growth curves

Fast-Pandas

Benchmark for different operations in pandas against various dataframe sizes.

pydataberlin-2019

This Repository contains the material for my tutorial "Managing the end-to-end machine learning lifecycle with MLFlow" at pyData/pyCon Berlin 2019.

atspy

AtsPy: Automated Time Series Models in Python (by @firmai)

pygpc

A Sensitivity and uncertainty analysis toolbox for Python based on the generalized polynomial chaos method

vaex

Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀

uncertainty-toolbox

Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization

elyra

Elyra extends JupyterLab with an AI centric approach.

actionable-recourse

python tools to check recourse in linear classification

scanalytics

Python implementation to solve Vehicle Routing problem & Master Production Scheduling in Supply Chain Analytics & Design.

auto-sklearn

Automated Machine Learning with scikit-learn