Trending repositories for topic numpy
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 ...
人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-in...
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
Visualizer for neural network, deep learning and machine learning models
Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy
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, AW...
Python Data Science Handbook: full text in Jupyter Notebooks
100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)
Web application for engineering students to predict appropriate job roles using Machine learning and other guidance material like job descriptions, links to courses, etc.
The full collection of Jupyter Notebook labs from Andrew Ng's Machine Learning Specialization.
Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
A beginner's roadmap to self studying Machine Learning and Artificial Intelligence
NumPy based Python module for reading TDMS files produced by LabView
Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy
人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-in...
CMSIS-DSP embedded compute library for Cortex-M and Cortex-A
100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)
A collection of code snippets from the publication Daily Dose of Data Science on Substack: http://www.dailydoseofds.com/
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
人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-in...
Python Data Science Handbook: full text in Jupyter Notebooks
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy
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, AW...
A high-performance, zero-overhead, extensible Python compiler with built-in NumPy support
The full collection of Jupyter Notebook labs from Andrew Ng's Machine Learning Specialization.
Msgpack serialization/deserialization library for Python, written in Rust using PyO3. Reboot of orjson. msgpack.org[Python]
My Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison between state-of-the-art Object Detection algorithms YOLO and Fast...
Web application for engineering students to predict appropriate job roles using Machine learning and other guidance material like job descriptions, links to courses, etc.
Creating digital art using Neural Network based Style Transfer.
Functions that create PNG and animated PNG files from numpy arrays.
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...
NumPy based Python module for reading TDMS files produced by LabView
Education, research and development using the Simultaneous Localization and Mapping (SLAM) method.
Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
In this tutorial, you will learn the fundamentals of how you can build neural networks without the help of the deep learning frameworks, and instead by using NumPy.
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
人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-in...
Python Data Science Handbook: full text in Jupyter Notebooks
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
A high-performance, zero-overhead, extensible Python compiler with built-in NumPy support
Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy
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, AW...
🐭 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
Web application for engineering students to predict appropriate job roles using Machine learning and other guidance material like job descriptions, links to courses, etc.
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.
Powerful image compression algorithm based on quadtrees
Python script solving the wave equation (équations de D'Alembert) 1D and 2D by taking into account velocity variation.
Steganography is for hiding text in the image without changeing image look with openCV and Numpy Library
My Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison between state-of-the-art Object Detection algorithms YOLO and Fast...
Creating digital art using Neural Network based Style Transfer.
ONNX-backed array library that is compliant with the Array API standard.
Multi-camera people tracking is to monitoring people with multiple cameras and connecting each other
Time Series Analysis and Forecasting in Python
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...
ONNX-backed array library that is compliant with the Array API standard.
A Swift library inspired by NumPy, focused on efficient numerical computation, array operations, and linear algebra for iOS and macOS development.
Steganography is for hiding text in the image without changeing image look with openCV and Numpy Library
🐭 A tiny single-file implementation of Group Relative Policy Optimization (GRPO) as introduced by the DeepSeekMath paper
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
人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-in...
A high-performance, zero-overhead, extensible Python compiler with built-in NumPy support
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, AW...
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
An open access book on scientific visualization using python and matplotlib
Type annotations for specifying, validating, and serializing arrays with arbitrary backends in Pydantic (and beyond)
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 collection of some awesome public MAX platform, Mojo programming language and Multi-Level IR Compiler Framework(MLIR) projects.
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...
The "House Price Prediction" project focuses on predicting housing prices using machine learning techniques. By leveraging popular Python libraries such as NumPy, Pandas, Scikit-learn (sklearn), Matpl...
A beginner's roadmap to self studying Machine Learning and Artificial Intelligence
ML-algorithms from scratch using Python. Classic Machine Learning course.
Python library for array programming on biological datasets. Documentation available at: https://bionumpy.github.io/bionumpy/
📈 PatternPy: A Python package revolutionizing trading analysis with high-speed pattern recognition, leveraging Pandas & Numpy. Effortlessly spot Head & Shoulders, Tops & Bottoms, Supports & Resistanc...
Hydrogen wavefunction modeling and electron probability density plots
Nvidia DLI workshop on AI-based predictive maintenance techniques to identify anomalies and failures in time-series data, estimate the remaining useful life of the corresponding parts, and map anomali...
A Python-based computer vision and AI system for skin disease recognition and diagnosis. Led end-to-end project pipeline, including data gathering, preprocessing, and training models. Utilized Keras, ...
A Python library for working with motion data in numpy or PyTorch