PySR is an open-source tool for Symbolic Regression: a machine learning task where the goal is to find an interpretable symbolic expression that optimizes some objective.
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#773 · +46 · 1d ·GitHub
本仓库包含三个面向学术科研人员的Skills，覆盖从文献阅读、论文写作到科学计算的完整研究工作流。office-academic-skill 负责论文阅读报告与学术 PPT/Word 文档生成；research-writing-skill 提供论文写作、润色与审稿回复辅助；scientific-toolkit-skill 整合 MATLAB/Python 科学计算与期刊级图表生成。三个 Skill 专为中文科研用户设计，可在 Claude Code 和 codex 中一键调用。
#985 · +34 · 1d ·GitHub
> Prefer to Clone Locally? > > This repository includes 50+ language translations which significantly increases the download size. To clone without translations, use sparse checkout: > > Bash / macOS / Linux: >
#2212 · +12 · 1d ·GitHub
⚠ Colab provides a temporary environment: anything you do will be deleted after a while, so make sure you download any data you care about.
#2638 · +9 · 1d ·GitHub
Register | Course Platform | Course Materials | Join Slack | Course Slack Channel | Telegram | YouTube Playlist | FAQ
#2776 · +8 · 1d ·GitHub
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
#3150 · +6 · 1d ·GitHub
Implemented the K-NN algorithm for classification. #100DaysOfMLCode Support Vector Machine Infographic is halfway complete. Will update it tomorrow.
#3152 · +6 · 1d ·GitHub
The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages.
#3440 · +5 · 1d ·GitHub
AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
#3465 · +5 · 1d ·GitHub
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
#4238 · +3 · 1d ·GitHub
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
#4472 · +3 · 1d ·GitHub
:zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归
#4626 · +3 · 1d ·GitHub
Autumn-Recruit Algo Notes(秋招算法学习仓库)，面向大模型时代的算法、工程与AI学习共建仓库。从数学基础、数据结构，到机器学习、深度学习、LLM、Agent、AI-Infra、语音与数据科学，通过「理解→推导→手写 → 运行 → 验证 → 复盘构建可持续迭代的知识体系。
#4715 · +2 · 1d ·GitHub
This project is for the second edition, which is now outdated (it came out in 2019).
#4756 · +2 · 1d ·GitHub
This project is for the first edition, which is now outdated (it came out in 2017).
13 and is available on Linux, MacOS, and Windows.
#5580 · +1 · 1d ·GitHub
100-Days-Of-ML-Code中文版
#5767 · +1 · 1d ·GitHub
Essential Cheat Sheets for deep learning and machine learning researchers
Virgilio is an open-source initiative, aiming to mentor and guide anyone in the world of the Data Science.
#5936 · +1 · 1d ·GitHub
Fashion-MNIST is a dataset of Zalando's article images—consisting of a training set of 60,000 examples and a test set of 10,000 examples. Each example is a 28x28 grayscale image, associated with a label from 10 classes.
#5949 · +1 · 1d ·GitHub
What you can expect are 400 pages rich in useful material just about everything you need to know to get started with machine learning ... from theory to the actual code that you can directly put into action! This is not yet just another "this is how scikit-learn works" book.
#6087 · +1 · 1d ·GitHub
This course is focused on the question: How do we do matrix computations with acceptable speed and acceptable accuracy?
sktime is a library for time series analysis in Python. It provides a unified interface for multiple time series learning tasks. Currently, this includes forecasting, time series classification, clustering, anomaly/changepoint detection, and other tasks.
SHAP (SHapley Additive exPlanations) is a game theoretic approach to explain the output of any machine learning model.
Open Neural Network Exchange (ONNX) is an open ecosystem that empowers AI developers to choose the right tools as their project evolves. ONNX provides an open source format for AI models, both deep learning and traditional ML.
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Dask is a flexible parallel computing library for analytics. See documentation for more information.
This project is about explaining what machine learning classifiers (or models) are doing.
#7726 · +0 · 1d ·GitHub
ai), led by Yury Kashnitsky (yorko), now Staff GenAI specialist at Google Cloud. D. degree in applied math and a Kaggle Competitions Master tier, Yury aimed at designing an ML course with a perfect balance between theory and practice.
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.