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
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...
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
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
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)
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, ...
📈 PatternPy: A Python package revolutionizing trading analysis with high-speed pattern recognition, leveraging Pandas & Numpy. Effortlessly spot Head & Shoulders, Tops & Bottoms, Supports & Resistanc...
Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
Technical and sentiment analysis to predict the stock market with machine learning models based on historical time series data and news article sentiment collected using APIs and web scraping.
Pandas, Polars, Spark, and Snowpark DataFrame comparison for humans and more!
A performant NumPy extension for Galois fields and their applications
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...
JAX - A curated list of resources https://github.com/google/jax
Python library for array programming on biological datasets. Documentation available at: https://bionumpy.github.io/bionumpy/
The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well as t...
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
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...
Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Visualizer for neural network, deep learning and machine learning models
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 ...
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...
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
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
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...
Powerful image compression algorithm based on quadtrees
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, ...
Python library for array programming on biological datasets. Documentation available at: https://bionumpy.github.io/bionumpy/
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...
📈 PatternPy: A Python package revolutionizing trading analysis with high-speed pattern recognition, leveraging Pandas & Numpy. Effortlessly spot Head & Shoulders, Tops & Bottoms, Supports & Resistanc...
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...
🌎→🗾Equirectangular (360/panoramic) image processing library for Python with minimal dependencies only using Numpy and PyTorch
A performant NumPy extension for Galois fields and their applications
Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
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...
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...
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...
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
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
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)
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...
Repo for ML Models built from scratch such as Self-Attention, Linear +Logistic Regression, PCA, LDA. CNN, LSTM, Neural Networks using Numpy only
Type annotations for specifying, validating, and serializing arrays with arbitrary backends in Pydantic (and beyond)
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 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...
Time Series Analysis and Forecasting in Python
The source code for the Geometry for Programmers book
🔥🔥🔥 A collection of some awesome public CUDA, cuBLAS, TensorRT, TensorRT-LLM, Triton and High Performance Computing (HPC) projects.
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
CMSIS-DSP embedded compute library for Cortex-M and Cortex-A
滑块验证码破解，通过使用 cv2 + numpy 分析滑块背景图片并计算所需滑动的距离，使用 PID 控制算法生成轨迹，使用 Selenium 模拟手工拖动滑块行为。
A beginner's roadmap to self studying Machine Learning and Artificial Intelligence
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)
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...
ML-algorithms from scratch using Python. Classic Machine Learning course.
Syntax highlighting for Python Docstring in VSCode.
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...
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
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)
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 Foundations: Linear Algebra, Calculus, Statistics & Computer Science
An open access book on scientific visualization using python and matplotlib
A beginner's roadmap to self studying Machine Learning and Artificial Intelligence
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.
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...
📈 PatternPy: A Python package revolutionizing trading analysis with high-speed pattern recognition, leveraging Pandas & Numpy. Effortlessly spot Head & Shoulders, Tops & Bottoms, Supports & Resistanc...
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 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...
Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.
Contenido y material practico de cada clase.
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
Hydrogen wavefunction modeling and electron probability density plots
🔥🔥🔥 A collection of some awesome public CUDA, cuBLAS, TensorRT, TensorRT-LLM, Triton and High Performance Computing (HPC) projects.
Python library for array programming on biological datasets. Documentation available at: https://bionumpy.github.io/bionumpy/