YMMS's Stars
ray-project/ray
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
datawhalechina/pumpkin-book
《机器学习》(西瓜书)公式详解
ddbourgin/numpy-ml
Machine learning, in numpy
IDEA-Research/Grounded-Segment-Anything
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
google-research/vision_transformer
vaexio/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 🚀
poloclub/cnn-explainer
Learning Convolutional Neural Networks with Interactive Visualization.
automl/auto-sklearn
Automated Machine Learning with scikit-learn
polyaxon/polyaxon
MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle
hardikkamboj/An-Introduction-to-Statistical-Learning
This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.
elyra-ai/elyra
Elyra extends JupyterLab with an AI centric approach.
uncertainty-toolbox/uncertainty-toolbox
Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
zhihao-chen/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。
mm-mansour/Fast-Pandas
Benchmark for different operations in pandas against various dataframe sizes.
NUAA-AL/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.
erikalu/omnimatte
tim-learn/awesome-test-time-adaptation
Collection of awesome test-time (domain/batch/instance) adaptation methods
SKTBrain/awesome-starcraftAI
A curated list of resources dedicated to StarCraft AI.
firmai/atspy
AtsPy: Automated Time Series Models in Python (by @firmai)
a-martyn/ISL-python
Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.
bukun/book_python_gis
Source codes in Python for book 'Python in Open Source GIS'.
soeaver/awesome-human-parsing
mscaudill/IntroStatLearn
Exercises from 'Introduction to Statistical Learning with Applications in R' written in Python.
mjirik/imcut
3D graph cut segmentation
pygpc-polynomial-chaos/pygpc
A Sensitivity and uncertainty analysis toolbox for Python based on the generalized polynomial chaos method
ustunb/actionable-recourse
python tools to check recourse in linear classification
ragamarkely/scanalytics
Python implementation to solve Vehicle Routing problem & Master Production Scheduling in Supply Chain Analytics & Design.
moskomule/anatome
Ἀνατομή is a PyTorch library to analyze representation of neural networks
tsterbak/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.
biosustain/croissance
Tool for estimating growth rates from microbial growth curves