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Microduck 复刻 · 从官方 MJCF 与 Rust 源码反推出的装配图、CAD 装配体与完整电控方案 | Mechanical + electronics reconstruction of Pollen Robotics' Microduck

SciPy (pronounced "Sigh Pie") is an open-source software for mathematics, science, and engineering. It includes modules for statistics, optimization, integration, linear algebra, Fourier transforms, signal and image processing, ODE solvers, and more.

Pyodide is a Python distribution for the browser and Node.js based on WebAssembly

statsmodels is a Python package that provides a complement to scipy for statistical computations including descriptive statistics and estimation and inference for statistical models.

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.

Essential Cheat Sheets for deep learning and machine learning researchers

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.

Dask is a flexible parallel computing library for analytics. See documentation for more information.

CuPy is a NumPy/SciPy-compatible array library for GPU-accelerated computing with Python. CuPy acts as a drop-in replacement to run existing NumPy/SciPy code on NVIDIA CUDA or AMD ROCm platforms.