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...
Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy
Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.
Python Data Science Handbook: full text in Jupyter Notebooks
100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
Cross-platform, customizable multimedia/video processing framework. With strong GPU acceleration, heterogeneous design, multi-language support, easy to use, multi-framework compatible and high perfor...
Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5
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
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
📈 PatternPy: A Python package revolutionizing trading analysis with high-speed pattern recognition, leveraging Pandas & Numpy. Effortlessly spot Head & Shoulders, Tops & Bottoms, Supports & Resistanc...
A beginner's roadmap to self studying Machine Learning and Artificial Intelligence
Cross-platform, customizable multimedia/video processing framework. With strong GPU acceleration, heterogeneous design, multi-language support, easy to use, multi-framework compatible and high perfor...
Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.
Python CSI processing and visualisation tools for Atheros, Intel, Nexmon, ESP32, FeitCSI, and PicoScenes (USRP, etc) formats.
100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)
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 Containers for NVIDIA Jetson and JetPack-L4T
A 3D electromagnetic FDTD simulator written in Python with optional GPU support
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 ...
Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.
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
100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)
Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy
Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5
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...
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
Cross-platform, customizable multimedia/video processing framework. With strong GPU acceleration, heterogeneous design, multi-language support, easy to use, multi-framework compatible and high perfor...
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...
Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.
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 module for seamless integration of analog filters designed in LTspice into Python3/Numpy signal processing projects.
Cross-platform, customizable multimedia/video processing framework. With strong GPU acceleration, heterogeneous design, multi-language support, easy to use, multi-framework compatible and high perfor...
A beginner's roadmap to self studying Machine Learning and Artificial Intelligence
A python project starter template for data-analytics and data-science.
100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)
Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
The full collection of Jupyter Notebook labs from Andrew Ng's new Machine Learning Specialization.
你的Python入门好帮手：一份包含了Python基础学习需要的知识框架 :snake: + 爬虫基础 :spider: + numpy基础 :bar_chart: + pandas基础 :panda_face: + 深度学习 🍥 + 脚本库 📚
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 ...
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
Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.
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
100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
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...
A beginner's roadmap to self studying Machine Learning and Artificial Intelligence
Formula Student Driverless Path Planning Algorithm. Colorblind centerline calculation algorithm developed by FaSTTUBe. It introduces a novel approach that uses neither Delaunay Triangulation nor RRT.
📈 PatternPy: A Python package revolutionizing trading analysis with high-speed pattern recognition, leveraging Pandas & Numpy. Effortlessly spot Head & Shoulders, Tops & Bottoms, Supports & Resistanc...
Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.
Bootcamp Data Analyst avec Python: Des bases de Python à l'analyse et visualisation de données pour l'extraction de connaissances et storytelling
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.
implement basic and contextual MAB algorithms for recommendation system
In this project I am Cleaning, Analysing and creating Visualizations to make data easily accessible of ease use.
Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
Cross-platform, customizable multimedia/video processing framework. With strong GPU acceleration, heterogeneous design, multi-language support, easy to use, multi-framework compatible and high perfor...
Hello Data Enthusiast! I will be updating my 100-day Journey here along with detailed Code Files Starting from Essential Libraries to Advanced Machine Learning and Deep Learning Algorithm Theory with ...
Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.
📈 PatternPy: A Python package revolutionizing trading analysis with high-speed pattern recognition, leveraging Pandas & Numpy. Effortlessly spot Head & Shoulders, Tops & Bottoms, Supports & Resistanc...
Mathematical, Statistics, Medical, Scientific Data Visualization
Education, research and development using the Simultaneous Localization and Mapping (SLAM) method.
"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.
Optimizing performance, building and installing packages required for oobabooga, AI and Data Science on Apple Silicon GPU. The goal is to optimize wherever possible, from the ground up.
A beginner's roadmap to self studying Machine Learning and Artificial Intelligence
PYTHON E POSTGRESQL - EXTRACT TRANSFORM LOAD - ETL - DADOS PÚBLICOS DA RECEITA FEDERAL DO BRASIL - RFB, INSTITUTO BRASILEIRO DE GEOGRAFIA E ESTATÍSTICA - IBGE E AGÊNCIA NACIONAL DO PETRÓLEO, GÁS NATUR...
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...
Python Library to calculate all types of Physics Formulae, both for calculations and research
End-to-end product that scrapes recent academic publications and prepares a feed of recommended readings for you.
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 ...
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
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...
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
A collection of scientific methods, processes, algorithms, and systems to build stories & models.
Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.
Up to 200x Faster Inner Products and Vector Similarity — for Python, JavaScript, Rust, C, and Swift, supporting f64, f32, f16 real & complex, i8, and binary vectors using SIMD for both x86 AVX2 & AVX-...
Hello Data Enthusiast! I will be updating my 100-day Journey here along with detailed Code Files Starting from Essential Libraries to Advanced Machine Learning and Deep Learning Algorithm Theory with ...
A beginner's roadmap to self studying Machine Learning and Artificial Intelligence
Scripts, notebooks, and articles about data science in general.
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...
Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.
Contenido y material practico de cada clase.
Multi-camera people tracking is to monitoring people with multiple cameras and connecting each other
The Streamlit for Data Science shows how to build interactive data apps powered by data visualization and machine learning!!
Virtual camera is created only using opencv and numpy. It simulates a camera where we can control all its parameters, intrinsic and extrinsic to get a better understanding how each component in the ca...
Data-Analyst-Roadmap for Professionals. This roadmap contains 8 Chapters that can be completed in 8 weeks, whether you are a fresher in the field or an experienced professional who wants to transition...
The source code for the Geometry for Programmers book