Statistics for topic numpy
RepositoryStats tracks 634,560 Github repositories, of these 567 are tagged with the numpy topic. The most common primary language for repositories using this topic is Python (307). Other languages include: Jupyter Notebook (157), C++ (29)
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
Python Data Science Handbook: full text in Jupyter Notebooks
Creating digital art using Neural Network based Style Transfer.
Msgpack serialization/deserialization library for Python, written in Rust using PyO3. Reboot of orjson. msgpack.org[Python]
Up to 200x Faster Dot Products & Similarity Metrics — for Python, Rust, C, JS, and Swift, supporting f64, f32, f16 real & complex, i8, and bit vectors using SIMD for both AVX2, AVX-512, NEON, SVE, & S...
Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
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
Msgpack serialization/deserialization library for Python, written in Rust using PyO3. Reboot of orjson. msgpack.org[Python]
Creating digital art using Neural Network based Style Transfer.
Functions that create PNG and animated PNG files from numpy arrays.
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
🐭 A tiny single-file implementation of Group Relative Policy Optimization (GRPO) as introduced by the DeepSeekMath paper
Hydrogen wavefunction modeling and electron probability density plots
Compatibility layer for common array libraries to support the Array API
A comprehensive collection of practical machine learning examples using popular frameworks and libraries.
TensorHue is a Python library that allows you to visualize tensors right in your console, making understanding and debugging tensor contents easier.
A discovery and compression tool for your Python codebase. Creates a knowledge graph for a LLM context window, efficiently outlining your project | Code structure visualization | LLM Context Window Ef...
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 series of notebooks that introduce Machine Learning concepts with hands-on practice and its mathematics in brief.
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.
A Swift library inspired by NumPy, focused on efficient numerical computation, array operations, and linear algebra for iOS and macOS development.
A discovery and compression tool for your Python codebase. Creates a knowledge graph for a LLM context window, efficiently outlining your project | Code structure visualization | LLM Context Window Ef...