Statistics for topic scipy
RepositoryStats tracks 642,935 Github repositories, of these 101 are tagged with the scipy topic. The most common primary language for repositories using this topic is Python (55). Other languages include: Jupyter Notebook (31)
Stargazers over time for topic scipy
Most starred repositories for topic scipy (view more)
Trending repositories for topic scipy (view more)
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...
"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.
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...
General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
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...
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...
splearn: package for signal processing and machine learning with Python. Contains tutorials on understanding and applying signal processing.
"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.
This is a repository that I have created to showcase skills, share projects and track my progress in Data Analytics / Data Science related topics.
Forward modeling, inversion, and processing gravity and magnetic data
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...
splearn: package for signal processing and machine learning with Python. Contains tutorials on understanding and applying signal processing.
Open-source Platform for Scientific and Technical Data Processing and Visualization
This is a repository that I have created to showcase skills, share projects and track my progress in Data Analytics / Data Science related topics.
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...
This is a repository that I have created to showcase skills, share projects and track my progress in Data Analytics / Data Science related topics.
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, ...)
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.