711 Open source projects that are alternatives of or similar to Mlalgorithms

darknet neural network addon for openFrameworks

Plain python implementations of basic machine learning algorithms

Daily Dose of Neural Network that Everyone Needs

a delightful machine learning tool that allows you to train, test, and use models without writing code

Machine Learning notebooks for refreshing concepts.

This repositary is a combination of different resources lying scattered all over the internet. The reason for making such an repositary is to combine all the valuable resources in a sequential manner, so that it helps every beginners who are in a search of free and structured learning resource for Data Science. For Constant Updates Follow me in …

🍃 Using a Neural Network to improve web accessibility in JavaScript.

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.

Machine learning algorithms for many-body quantum systems

A Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module available to easily create Deep Reservoir Computing models.

Monthly Series - Top 10 Machine Learning Articles

Keras implementations of Generative Adversarial Networks.

Code and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' (new title: 'Graph Classification with 2D Convolutional Neural Networks')

Code for "Picking Winning Tickets Before Training by Preserving Gradient Flow" https://openreview.net/pdf?id=SkgsACVKPH

This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.

A minimalist deep learning library in Javascript using WebGL + asm.js. Run convolutional neural network in your browser.

Discover relevant information about categorical data with entity embeddings using Neural Networks (powered by Keras)

Visualisations for Convolutional Neural Networks in Pytorch

simple neural network library in ANSI C

Machine learning and data science blog.

Information about my experiences on ethical hacking 💀

Distributed Learning by Pair-Wise Averaging

A simple GUI tool for generating adversarial poses of objects.

Research Framework for easy and efficient training of GANs based on Pytorch

A curated list of repositories for my book Machine Learning Solutions.

I will update this repository to learn Machine learning with python with statistics content and materials

Self driving cars using NEAT

Code for the Lovász-Softmax loss (CVPR 2018)

Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood

Getting started with AllenNLP and PyTorch by training a tweet classifier

A 2D Unity simulation in which cars learn to navigate themselves through different courses. The cars are steered by a feedforward neural network. The weights of the network are trained using a modified genetic algorithm.

Augmenting word embeddings with their surrounding context using bidirectional RNN

Arrays with arbitrarily nested named components.

MemeGen is a web application where the user gives an image as input and our tool generates a meme at one click for the user.

A collaboratively written review paper on deep learning, genomics, and precision medicine

Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.

List of AI Residency & Research programs, Ph.D Fellowships, Research Internships

Official Repsoitory for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]

Interactive Classification for Deep Learning Interpretation

A Tensorflow implementation of the Adaptive Neuro-Based Fuzzy Inference System (ANFIS)

Machine learning plugins for network traffic

Highway networks implemented in PyTorch.

Research code need not be ugly.

Deep Learning tools for brain medical images

PHP-ML - Machine Learning library for PHP

This is the Repository where you can find all the solution of the Problems which you solve on competitive platforms mainly HackerRank and HackerEarth

Implementation of 1D, 2D, and 3D FFT convolutions in PyTorch. Much faster than direct convolutions for large kernel sizes.

Adventure into using multi attention recurrent neural networks for time-series (city traffic) for the 2017-11-18 McKinsey IronMan (24h non-stop) prediction challenge

Crystal Graph Neural Networks

Deep Learning over PyTorch

TensorHub is a library built on top of TensorFlow 2.0 to provide simple, modular and repeatable abstractions to accelerate deep learning research.

Reproducing MuJoCo benchmarks in a modern, commercial game /physics engine (Unity + PhysX).

This is our implementation of EHCF: Efficient Heterogeneous Collaborative Filtering (AAAI 2020)

All DeepLearning4j projects go here.

Code of my MOOC Course <Play with Machine Learning Algorithms>. Updated contents and practices are also included. 我在慕课网上的课程《Python3 入门机器学习》示例代码。课程的更多更新内容及辅助练习也将逐步添加进这个代码仓。

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

An open-source platform for automating tasks using machine learning models