Statistics for topic numpy
RepositoryStats tracks 584,796 Github repositories, of these 538 are tagged with the numpy topic. The most common primary language for repositories using this topic is Python (294). Other languages include: Jupyter Notebook (147), C++ (28)
Stargazers over time for topic numpy
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Tensors and Dynamic neural networks in Python with strong GPU acceleration
30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos may ...
Visualizer for neural network, deep learning and machine learning models
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
adam implements a collection of algorithms for calculating rigid-body dynamics in Jax, CasADi, PyTorch, and Numpy.
Hydrogen wavefunction modeling and electron probability density plots
Python implementation of Levenberg-Marquardt algorithm built from scratch using NumPy.
Tools to help with the conversion of DICOM images, RT Structures, and dose to useful Python objects. Essentially DICOM to NumPy and SimpleITK Images
LiTS - Liver Tumor Segmentation Challenge
Tensors and Dynamic neural networks in Python with strong GPU acceleration
30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos may ...
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
Visualizer for neural network, deep learning and machine learning models
adam implements a collection of algorithms for calculating rigid-body dynamics in Jax, CasADi, PyTorch, and Numpy.
This project is about predicting stock prices with more accuracy using LSTM algorithm. For this project we have fetched real-time data from yfinance library.
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
A beginner's roadmap to self studying Machine Learning and Artificial Intelligence
Tensors and Dynamic neural networks in Python with strong GPU acceleration
30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos may ...
Visualizer for neural network, deep learning and machine learning models
This project is about predicting stock prices with more accuracy using LSTM algorithm. For this project we have fetched real-time data from yfinance library.
Python library for array programming on biological datasets. Documentation available at: https://bionumpy.github.io/bionumpy/
Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.
TensorHue is a Python library that allows you to visualize tensors right in your console, making understanding and debugging tensor contents easier.
Type annotations for specifying, validating, and serializing arrays with arbitrary backends in Pydantic (and beyond)
Syntax highlighting for Python Docstring in VSCode.
30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos may ...
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Visualizer for neural network, deep learning and machine learning models
Python Data Science Handbook: full text in Jupyter Notebooks
A beginner's roadmap to self studying Machine Learning and Artificial Intelligence
Education, research and development using the Simultaneous Localization and Mapping (SLAM) method.
A series of notebooks that introduce Machine Learning concepts with hands-on practice and its mathematics in brief.
A Swift library inspired by NumPy, focused on efficient numerical computation, array operations, and linear algebra for iOS and macOS development.