462 Open source projects that are alternatives of or similar to mlzero_to_hero

Teach you how to implement machine learning algorithms

model-describer : Making machine learning interpretable to humans

A curated list of applied machine learning and data science notebooks and libraries across different industries.

No description or website provided.

Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog

🤖 NanoNeuron is 7 simple JavaScript functions that will give you a feeling of how machines can actually "learn"

A fast xgboost feature selection algorithm

A collection of Methods and Models for various architectures of Artificial Neural Networks

The Cutest Deep Learning Framework which is also a wonderful Declarative Language

This repository contains notes and projects of Data scientist track from dataquest course work.

Heart Disease prediction using 5 algorithms

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

anomaly detection with anomalize and Google Trends data

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.

Makine Öğrenmesi Türkçe Kaynak

Plant Disease Identification Using Convulutional Neural Network

【不定期更新】收集整理的一些网站中（如知乎、Quora、Reddit、Stack Exchange等）与深度学习、机器学习、强化学习、数据科学相关的有价值的问题

A repository for the source code, notebooks, data, files, and other assets used in the data science and machine learning articles on LearnDataSci

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

Soomvaar is the repo which 🏩 contains different collection of 👨‍💻🚀code in Python and 💫✨Machine 👬🏼 learning algorithms📗📕 that is made during 📃 my practice and learning of ML and Python✨💥

In this repo I will try to gather all of the projects related to data science with clean datasets and high accuracy models to solve real world problems.

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.

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

Lets Learn AI

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

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

A machine learning toolkit dedicated to time-series data

Machine Learning Model for Sport Predictions (Football, Basketball, Baseball, Hockey, Soccer & Tennis)

Modeltime unlocks time series forecast models and machine learning in one framework

Remove watermark automatically(Just can use for fixed position watermark till now). 自动水印消除算法的实现（目前只支持固定水印位置）。

Analysis Pipeline for Single Cell ATAC-seq

This repository contains algorithms written in MATLAB/Octave. Developing algorithms in the MATLAB environment empowers you to explore and refine ideas, and enables you test and verify your algorithm.

Codice sorgente ed Errata Corrige del mio libro "A tu per tu col Machine Learning"

Reinforcement learning with A* and a deep heuristic

A Repository to store implementation of some of the famous Data Structures and Algorithms (mainly in C/C++/Java/Python) for everyone to learn and contribute.

Launch machine learning models into production using flask, docker etc.

最全的中文版深度学习资源索引，包括论文，慕课，开源框架，数据集等等

cuML - RAPIDS Machine Learning Library

naive bayes in php

All Machine Learning Algorithms

Implementation of Statistical Learning Method, Second Edition.《统计学习方法》第二版，算法实现。

A day to day plan for this challenge. Covers both theoritical and practical aspects

A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)

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

Log Anomaly Detection - Machine learning to detect abnormal events logs

PHP K-Means

Implementation of various self-attention mechanisms focused on computer vision. Ongoing repository.

A script in python to organize your images by similarity.

Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.

Machine Learning notebooks for refreshing concepts.

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

Double Trouble in the Double Descent Curve with Optical Processing Units.

This repo aims to contain different machine learning use cases along with the descriptions to the model architectures

Framework for algorithmic trading

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

This is a comprehensive ML techniques with python: Define the Problem- Specify Inputs & Outputs- Data Collection- Exploratory data analysis -Data Preprocessing- Model Design- Training- Evaluation

Face identification with CNN + TPE using Keras

MATLAB library for non-negative matrix factorization (NMF): Version 1.8.1

Confusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib