1019 Open source projects that are alternatives of or similar to Cython Blis

Linear algebra, eigenvalues, FFT, Bessel, elliptic, orthogonal polys, geometry, NURBS, numerical quadrature, 3D transfinite interpolation, random numbers, Mersenne twister, probability distributions, optimisation, differential equations.

Small Docker image with Python Machine Learning tools (~180MB) https://hub.docker.com/r/frolvlad/alpine-python-machinelearning/

Курс "Введение в машинное обучение" (ВМК, МГУ имени М.В. Ломоносова)

Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron

Get started with Machine Learning in TensorFlow with a selection of good reads and implemented examples!

Simple neural networks based only on Numpy

An easy way to use for view's empty state 一行代码显示空视图，高度自定义

Pytorch implementation of Block Neural Autoregressive Flow

[Tensorflow.js] AdVis: Exploring real-time Adversarial Attacks in the browser with Fast Gradient Sign Method.

This is the official implementation of the AAAI 2021 accepted paper "Sketch Generation with Drawing Process Guided by Vector Flow and Grayscale"

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

JAX-based neural network library

Materiály k předmětu NI-PYT na FIT ČVUT

Qualia is a deep learning framework deeply integrated with automatic differentiation and dynamic graphing with CUDA acceleration. Qualia was built from scratch.

Code for reproducing Flow ++ experiments

Denoising Autoencoders for Phenotype Stratification

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

GPU accelerated Deep Belief Network

Labs for the Foundations of Applied Mathematics curriculum.

Yet another neural network library

SAFE: Self-Attentive Function Embeddings for binary similarity

Courses, Articles and many more which can help beginners or professionals.

A constantly updated python machine learning cheatsheet

Many-dimensional type-safe numeric ops

A general, modular, and programmable architecture search framework

A collection of notebooks of my Machine Learning class written in python 3

[NO MAINTENANCE INTENDED] A PyTorch implementation of CapsNet architecture in the NIPS 2017 paper "Dynamic Routing Between Capsules".

Open Machine Learning Course

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Finding the genre of a song with Deep Learning

PyTorch 101 series covering everything from the basic building blocks all the way to building custom architectures.

High-level DICOM abstractions for the Python programming language

TensorFlow CNN for fast style transfer ⚡🖥🎨🖼

This is the implementation of paper Model Free Episodic Control

A powerful and intuitive WYSIWYG interface that allows anyone to create Machine Learning models!

Learn this if you want to be a software engineer. Constant vigilance means being continually aware of areas that need improvement. For me, I am constantly searching for valuable resources to ensure I am able to solve any problem that comes my way.

NumPy ndarray ⇋ OpenCV Mat conversion, that just works.

Alpine Container for Machine Learning

This repository consists of all my Machine Learning Projects.

🍋Machine Learning library from scratch.🍋

Русскоязычный чатбот

📚 Various cheatsheets in PDF

100 Days of ML Coding

End-To-End Molecular Dynamics (MD) Engine using PyTorch

Idiomatic Kotlin extensions for ojAlgo

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

This is just a collection of projects that made during my DEEPLEARNING NANODEGREE by UDACITY

A Box detection algorithm for any image containing boxes.

A gym environment for Stuart Armstrong's model of a treacherous turn.

Using word vectors to classify spam messages

oneAPI Specification source files

fit piecewise linear data for a specified number of line segments

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

Deep Neural Network Sandbox for JavaScript.

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

PrusaControl is an alternative user interface for Slic3r Prusa Edition

Minimal and clean examples of machine learning algorithms implementations

Deep Learning for Automatic Pneumonia Detection, RSNA challenge