774 Open source projects that are alternatives of or similar to ml-ai

An extensive machine learning library, made from scratch (Python).

PHP-ML - Machine Learning library for PHP

Implementing machine learning algorithms from scratch.

🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!

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Heart Disease prediction using 5 algorithms

VIP cheatsheets for Stanford's CS 229 Machine Learning

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zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.

Complete-Life-Cycle-of-a-Data-Science-Project

Vectorized Machine Learning in Python 🐍 From Scratch

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Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means

Learning to Cluster. A deep clustering strategy.

Machine Learning Course @ Santa Clara University

The standard package for machine learning with noisy labels, finding mislabeled data, and uncertainty quantification. Works with most datasets and models.

My main Machine Learning class

100-Days-Of-ML-Code中文版

A library of extension and helper modules for Python's data analysis and machine learning libraries.

R package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, data generation, and recommenders.

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.

Plant Disease Identification Using Convulutional Neural Network

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A Hugo theme derived from the XMin theme, and inspired by Wowchemy, Distill, and tufte.css

Official implementation of the CVPR 2022 paper "DETReg: Unsupervised Pretraining with Region Priors for Object Detection".

Image2Image Translation Research

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Keras Implementation of Deepmind's WaveNet for Supervised Learning Tasks

Official adversarial mixup resynthesis repository

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Awesome Graph Self-Supervised Learning

Comparison of bandit algorithms from the Reinforcement Learning bible.

TensorFlow implementation for "Guided Optical Flow Learning"

L2RPN Baselines a repository to host baselines for l2rpn competitions.

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

A Node.js script to generate the Map of India in terminal

Online repository for the Sawaliram platform

Pyspark in Google Colab: A simple machine learning (Linear Regression) model

An implementation of "Community Preserving Network Embedding" (AAAI 2017)

OpenMMLab Self-Supervised Learning Toolbox and Benchmark

Finance portfolio management for Indians. Track financial goals using contributions to Provident Fund, Sukanya Samriddhi, Mutual Funds, Shares, Restricted Stock Units, Employee Stock Purchase Plan, 401K, Gold, Crypto

Historical NAV/price/time-series data of mutual funds and popular benchmark indices in India

WebApp Quandl.com API to tell stock growth history in a given period.

PyTorch Implementation of VAENAR-TTS: Variational Auto-Encoder based Non-AutoRegressive Text-to-Speech Synthesis.

👥 轻松创建研究组或组织网站 Easily create a stunning Research Group, Team, or Business Website with no-code

Crossmodal Supervised Learning Toolkit using High-Performance Extreme Learning Machines over the audio-visual-textual data

Basic Machine Learning implementation with python

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Pipeline of a keylogging attack using just an audio signal and unsupervised learning.

Implemented here a Binary Neural Network (BNN) achieving nearly state-of-art results but recorded a significant reduction in memory usage and total time taken during training the network.

Perform Efficient ML/DL Modelling easily

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AI Learning Hub for Machine Learning, Deep Learning, Computer Vision and Statistics

Various cognitive api for machine learning, vision, language intent alalysis. Covers traditional as well as deep learning model design and training.