Trending repositories for topic scipy
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...
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 package to accelerate the sparse matrix multiplication and top-n similarity selection
Non-Linear Least Squares Minimization, with flexible Parameter settings, based on scipy.optimize, and with many additional classes and methods for curve fitting.
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
General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
Python package to accelerate the sparse matrix multiplication and top-n similarity selection
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...
Non-Linear Least Squares Minimization, with flexible Parameter settings, based on scipy.optimize, and with many additional classes and methods for curve fitting.
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...
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
General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
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...
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。
An open-source Python library for audio time-scale modification.
Python package to accelerate the sparse matrix multiplication and top-n similarity selection
Non-Linear Least Squares Minimization, with flexible Parameter settings, based on scipy.optimize, and with many additional classes and methods for curve fitting.
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
Python port of "Common statistical tests are linear models" by Jonas Kristoffer Lindeløv.
General optimization (LP, MIP, QP, continuous and discrete optimization etc.) using Python
Python port of "Common statistical tests are linear models" by Jonas Kristoffer Lindeløv.
An open-source Python library for audio time-scale modification.
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 package to accelerate the sparse matrix multiplication and top-n similarity selection
General optimization (LP, MIP, QP, continuous and discrete optimization etc.) using Python
Remote heart rate detection through Eulerian magnification of face videos
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。
a numpy-like fast vector module for micropython, circuitpython, and their derivatives
Non-Linear Least Squares Minimization, with flexible Parameter settings, based on scipy.optimize, and with many additional classes and methods for curve fitting.
Theory of digital signal processing (DSP): signals, filtration (IIR, FIR, CIC, MAF), transforms (FFT, DFT, Hilbert, Z-transform) etc.
General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
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...
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。
Theory of digital signal processing (DSP): signals, filtration (IIR, FIR, CIC, MAF), transforms (FFT, DFT, Hilbert, Z-transform) etc.
General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
This is a repository that I have created to showcase skills, share projects and track my progress in Data Analytics / Data Science related topics.
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.
Non-Linear Least Squares Minimization, with flexible Parameter settings, based on scipy.optimize, and with many additional classes and methods for curve fitting.
Python implementation of solvers for differential algebraic equation's (DAE's) that should be added to scipy one day.
Open-source Platform for Scientific and Technical Data Processing and Visualization
Python implementation of solvers for differential algebraic equation's (DAE's) that should be added to scipy one day.
Open-source Platform for Scientific and Technical Data Processing and Visualization
Hydrogen wavefunction modeling and electron probability density plots
PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)
This is a repository that I have created to showcase skills, share projects and track my progress in Data Analytics / Data Science related topics.
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.
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...
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.
本项目以应用为主出发，结合了从基础的机器学习、深度学习到目标检测以及目前最新的大模型，采用目前成熟的 第三方库、开源预训练模型以及相关论文的最新技术，目的是记录学习的过程同时也进行分享以供更多人可以直接进行使用。
splearn: package for signal processing and machine learning with Python. Contains tutorials on understanding and applying signal processing.
An open-source Python library for audio time-scale modification.
"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.
Solutions and workflow for the Bayesian Statistics The Fun Way book in Python
IBM Data Science Professional Certificate
Forward modeling, inversion, and processing gravity and magnetic data
Scientific Computing for Chemists is a free text for teaching basic computing skills to chemists using Python, Jupyter notebooks, and the other Python packages. This text makes use of a variety of pac...
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...
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。
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
Theory of digital signal processing (DSP): signals, filtration (IIR, FIR, CIC, MAF), transforms (FFT, DFT, Hilbert, Z-transform) etc.
General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
This is a repository that I have created to showcase skills, share projects and track my progress in Data Analytics / Data Science related topics.
Non-Linear Least Squares Minimization, with flexible Parameter settings, based on scipy.optimize, and with many additional classes and methods for curve fitting.
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.
Scientific Computing for Chemists is a free text for teaching basic computing skills to chemists using Python, Jupyter notebooks, and the other Python packages. This text makes use of a variety of pac...
This is a repository that I have created to showcase skills, share projects and track my progress in Data Analytics / Data Science related topics.
Hydrogen wavefunction modeling and electron probability density plots
Open-source Platform for Scientific and Technical Data Processing and Visualization
PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)
Sharing the solved Exercises & Project of Statistics for Data Science using Python course on Coursera by Ankit Gupta
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.
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.
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...
Scientific Computing for Chemists is a free text for teaching basic computing skills to chemists using Python, Jupyter notebooks, and the other Python packages. This text makes use of a variety of pac...
IBM Data Science Professional Certificate
🐳 Проектная деятельность. Здесь хранятся лекции, практические задания и проекты с karpov_courses. Ссылка: https://karpov.courses/
splearn: package for signal processing and machine learning with Python. Contains tutorials on understanding and applying signal processing.
本项目以应用为主出发，结合了从基础的机器学习、深度学习到目标检测以及目前最新的大模型，采用目前成熟的 第三方库、开源预训练模型以及相关论文的最新技术，目的是记录学习的过程同时也进行分享以供更多人可以直接进行使用。
"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.
Forward modeling, inversion, and processing gravity and magnetic data