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Top 305 machine-learning-algorithms open source projects

Pretty Print Confusion Matrix
Confusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib
(MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection)
Watermark Remover
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)。
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.
Learn Statistical Learning Method
Implementation of Statistical Learning Method, Second Edition.《统计学习方法》第二版,算法实现。
Self Attention Cv
Implementation of various self-attention mechanisms focused on computer vision. Ongoing repository.
Awesome Deep Learning And Machine Learning Questions
【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
Meta Learning Papers
A classified list of meta learning papers based on realm.
A Python package implementing a new machine learning model for text classification with visualization tools for Explainable AI
Bet On Sibyl
Machine Learning Model for Sport Predictions (Football, Basketball, Baseball, Hockey, Soccer & Tennis)
Modeltime unlocks time series forecast models and machine learning in one framework
Analysis Pipeline for Single Cell ATAC-seq
Matlab Octave
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.
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.
Awesome Deep Learning For Chinese
Seal Ci
A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)
A script in python to organize your images by similarity.
Machine Learning Models
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
Nano Neuron
🤖 NanoNeuron is 7 simple JavaScript functions that will give you a feeling of how machines can actually "learn"
Machine Learning Workflow With Python
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
Data Structures And Algorithms
Data Structures and Algorithms implemented In Python, C, C++, Java or any other languages. Aimed to help strengthen the concepts of DS&A. Give a Star 🌟 if it helps you.
Real Time Ml Project
A curated list of applied machine learning and data science notebooks and libraries across different industries.
AIXIjs - General Reinforcement Learning in the Browser
Time Series Classification And Clustering With Reservoir Computing
Library for implementing reservoir computing models (echo state networks) for multivariate time series classification and clustering.
Machine learning lectures
Collection of lectures and lab lectures on machine learning and deep learning. Lab practices in Python and TensorFlow.
sources for daal4py - a convenient Python API to oneDAL
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