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 ...
Visualizer for neural network, deep learning and machine learning models
Python Data Science Handbook: full text in Jupyter Notebooks
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
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...
Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
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实用教程，包括：Python基础，Python高级特性，面向对象编程，多线程，数据库，数据科学，Flask，爬虫开发教程。
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).
Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy
A 3D electromagnetic FDTD simulator written in Python with optional GPU support
Hydrogen wavefunction modeling and electron probability density plots
adam implements a collection of algorithms for calculating rigid-body dynamics in Jax, CasADi, PyTorch, and Numpy.
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
A 3D electromagnetic FDTD simulator written in Python with optional GPU support
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
LiTS - Liver Tumor Segmentation Challenge
A performant NumPy extension for Galois fields and their applications
CMSIS-DSP embedded compute library for Cortex-M and Cortex-A
Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
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...
Python实用教程，包括：Python基础，Python高级特性，面向对象编程，多线程，数据库，数据科学，Flask，爬虫开发教程。
Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).
This repository consists of all my Machine Learning Projects.
Connected components on discrete and continuous multilabel 3D & 2D images. Handles 26, 18, and 6 connected variants; periodic boundaries (4, 8, & 6)
64bit multithreaded python data analytics tools for numpy arrays and datasets
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
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...
Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
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...
Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
Python实用教程，包括：Python基础，Python高级特性，面向对象编程，多线程，数据库，数据科学，Flask，爬虫开发教程。
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.
Hydrogen wavefunction modeling and electron probability density plots
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
implement basic and contextual MAB algorithms for recommendation system
A 3D electromagnetic FDTD simulator written in Python with optional GPU support
Syntax highlighting for Python Docstring in VSCode.
Practical guide to build end-to-end machine learning pipeline and deploy your model in production,
📈 PatternPy: A Python package revolutionizing trading analysis with high-speed pattern recognition, leveraging Pandas & Numpy. Effortlessly spot Head & Shoulders, Tops & Bottoms, Supports & Resistanc...
🐳 Проектная деятельность. Здесь хранятся лекции, практические задания и проекты с karpov_courses. Ссылка: https://karpov.courses/
Python implementation of Levenberg-Marquardt algorithm built from scratch using NumPy.
Compatibility layer for common array libraries to support the Array API
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
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...
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
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...
Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
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)
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/
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...
ONNX-backed array library that is compliant with the Array API standard.
Fast Python implementations of Poisson image editing, using Pytorch and NumPy.
A beginner's roadmap to self studying Machine Learning and Artificial Intelligence
📈 PatternPy: A Python package revolutionizing trading analysis with high-speed pattern recognition, leveraging Pandas & Numpy. Effortlessly spot Head & Shoulders, Tops & Bottoms, Supports & Resistanc...
Type annotations for specifying, validating, and serializing arrays with arbitrary backends in Pydantic (and beyond)
adam implements a collection of algorithms for calculating rigid-body dynamics in Jax, CasADi, PyTorch, and Numpy.
🐳 Проектная деятельность. Здесь хранятся лекции, практические задания и проекты с karpov_courses. Ссылка: https://karpov.courses/
ML-algorithms from scratch using Python. Classic Machine Learning course.
Multi-camera people tracking is to monitoring people with multiple cameras and connecting each other
Compatibility layer for common array libraries to support the Array API
Python Library to calculate all types of Physics Formulae, both for calculations and research
"Computational Methods for Economists using Python", by Richard W. Evans. Tutorials and executable code in Python for the most commonly used computational methods in economics.
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.
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.
ML-algorithms from scratch using Python. Classic Machine Learning course.
7 Day AI ML Fundamentals Workshop The purpose of this FREE workshop is 1. To give you a boost of getting started with AI. 2. A life-long community with a similar mindset. 3. strong grip on fundamental...
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.
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...
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
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...
Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy
Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
An open access book on scientific visualization using python and matplotlib
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...
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.
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.
📈 PatternPy: A Python package revolutionizing trading analysis with high-speed pattern recognition, leveraging Pandas & Numpy. Effortlessly spot Head & Shoulders, Tops & Bottoms, Supports & Resistanc...
7 Day AI ML Fundamentals Workshop The purpose of this FREE workshop is 1. To give you a boost of getting started with AI. 2. A life-long community with a similar mindset. 3. strong grip on fundamental...
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...
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, ...
Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.
Python Library to calculate all types of Physics Formulae, both for calculations and research
Contenido y material practico de cada clase.
Hydrogen wavefunction modeling and electron probability density plots
🔥🔥🔥 A collection of some awesome public CUDA, cuBLAS, TensorRT and High Performance Computing (HPC) projects.
"Computational Methods for Economists using Python", by Richard W. Evans. Tutorials and executable code in Python for the most commonly used computational methods in economics.