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
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...
A high-performance, zero-overhead, extensible Python compiler with built-in NumPy support
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
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)
Creating digital art using Neural Network based Style Transfer.
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...
An explicit Python PV system IV & PV curve trace calculator which can also calculate mismatch.
JAX - A curated list of resources https://github.com/google/jax
Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
A 3D electromagnetic FDTD simulator written in Python with optional GPU support
🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo
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...
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
Python Data Science Handbook: full text in Jupyter Notebooks
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...
An open access book on scientific visualization using python and matplotlib
Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
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)
Pandas, Polars, Spark, and Snowpark DataFrame comparison for humans and more!
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
Repo for ML Models built from scratch such as Self-Attention, Linear +Logistic Regression, PCA, LDA. CNN, LSTM, Neural Networks using Numpy only
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 series of notebooks that introduce Machine Learning concepts with hands-on practice and its mathematics in brief.
Pandas, Polars, Spark, and Snowpark DataFrame comparison for humans and more!
Fast Python implementations of Poisson image editing, using Pytorch and NumPy.
Creating digital art using Neural Network based Style Transfer.
Remap, mask, renumber, unique, and in-place transposition of 3D labeled images. Point cloud too.
Cloud syncing manager for multiple MEGA cloud storage accounts with syncing, data gathering, compresssion and optimization capabilities.
Python wrapper around C++ utilities for computing neighbors and local geometric features of a point cloud
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...
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...
An explicit Python PV system IV & PV curve trace calculator which can also calculate mismatch.
Compatibility layer for common array libraries to support the Array API
CMSIS-DSP embedded compute library for Cortex-M and Cortex-A
A comprehensive collection of practical machine learning examples using popular frameworks and libraries.
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...
🤗 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...
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
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
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
A comprehensive collection of practical machine learning examples using popular frameworks and libraries.
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 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.
Repo for ML Models built from scratch such as Self-Attention, Linear +Logistic Regression, PCA, LDA. CNN, LSTM, Neural Networks using Numpy only
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 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, ...
Creating digital art using Neural Network based Style Transfer.
📈 PatternPy: A Python package revolutionizing trading analysis with high-speed pattern recognition, leveraging Pandas & Numpy. Effortlessly spot Head & Shoulders, Tops & Bottoms, Supports & Resistanc...
Cheatsheets on numerous topics ranging from DataScience | ML | DL | AI | Big Data.
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...
ML-algorithms from scratch using Python. Classic Machine Learning course.
Syntax highlighting for Python Docstring in VSCode.
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.
NuCS is a Python constraint programming library for solving Constraint Satisfaction and Optimization Problems over finite domains
A collection of some awesome public MAX platform, Mojo programming language and Multi-Level IR Compiler Framework(MLIR) projects.
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...
A high-performance, zero-overhead, extensible Python compiler with built-in NumPy support
🤗 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
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 beginner's roadmap to self studying Machine Learning and Artificial Intelligence
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...
Contenido y material practico de cada clase.
📈 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...
Python library for array programming on biological datasets. Documentation available at: https://bionumpy.github.io/bionumpy/
Hydrogen wavefunction modeling and electron probability density plots
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
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...