398 Open source projects that are alternatives of or similar to Tsalib

A tool library of classical machine learning algorithms with only numpy.

The interface between ROOT and NumPy

We're moving. Please visit https://github.com/PyWavelets

numpy 实现的 周志华《机器学习》书中的算法及其他一些传统机器学习算法

NLP made easy

Color tracking with OpenCV

A Simple & Flexible Cross Framework Operators Toolkit

Data science teaching materials

Mypy stubs, i.e., type information, for numpy, pandas and matplotlib

An open-access book on numpy vectorization techniques, Nicolas P. Rougier, 2017

📚 Various cheatsheets in PDF

🏃 Some of the python tutorial - 《Python学习笔记》

Manipulate JSON-like data with NumPy-like idioms.

A tiny sotfware 3D renderer in 100 lines of Python

image processing codes to understand algorithm

The templated deep learning framework, enabling framework-agnostic functions, layers and libraries.

Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.

美颜相机，具有人脸检测、磨皮美白人脸、滤镜、调节图片、摄像功能

Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy

A C++ Cuda Tensor Lazy Computing Library

The Python Toolbox for Robotics

Simple neural networks based only on Numpy

🎨 Color recognition & classification & detection on webcam stream / on video / on single image using K-Nearest Neighbors (KNN) is trained with color histogram features by OpenCV.

Materiály k předmětu NI-PYT na FIT ČVUT

Astus' Mathematical Display Application : A GUI for Mathematics (Calculator, LaTeX Converter, Plotter, ... )

Study E-Book(ComputerVision DeepLearning MachineLearning Math NLP Python ReinforcementLearning)

LiTS - Liver Tumor Segmentation Challenge

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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

NumPy官方中文文档（完整版）

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

A Box detection algorithm for any image containing boxes.

Combining Psi4 and Numpy for education and development.

Python related technologies used in work: crawler, data analysis, timing tasks, RPC, page parsing, decorator, built-in functions, Python objects, multi-threading, multi-process, asynchronous, redis, mongodb, mysql, openstack, etc.

Using word vectors to classify spam messages

Simple Smart Pipe: python productivity-tool for rapid data manipulation

C++ tensors with broadcasting and lazy computing

A Python wrapper of NVIDIA Video Loader (NVVL) with CuPy for fast video loading with Python

This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.

Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.

Data-frames & arrays on Clojure

Credit Risk analysis by using Python and ML

Serialize numpy arrays using msgpack

Data Reading Blocks for Python

Programming with Python

Python interface to the TileDB storage manager

The Nested Containment List for Python. Basically a static interval-tree that is silly fast for both construction and lookups.

A pure-python/numpy autograd tensor library

N-D labeled arrays and datasets in Python

Animations of random double pendulums

Python Cheat Sheet NumPy, Matplotlib

Accurate sums and dot products for Python.

A pythonic interface for the ROOT libraries on top of the PyROOT bindings.

irwin - the protector of lichess from all chess players villainous

A Python Matplotlib, Numpy library to manage wind data, draw windrose (also known as a polar rose plot), draw probability density function and fit Weibull distribution

💡 Type hints for Numpy

A Case Study Approach to Successful Data Science Projects Using Python, Pandas, and Scikit-Learn

A Python module for time-frequency analysis

💥 Fast matrix-multiplication as a self-contained Python library – no system dependencies!

A constantly updated python machine learning cheatsheet