Suod(MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection)
Igela delightful machine learning tool that allows you to train, test, and use models without writing code
LearningxDeep & Classical Reinforcement Learning + Machine Learning Examples in Python
Watermark RemoverRemove 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)。
Aleph starReinforcement learning with A* and a deep heuristic
EchotorchA 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.
Self Attention CvImplementation of various self-attention mechanisms focused on computer vision. Ongoing repository.
Halite IiSeason 2 of @twosigma's artificial intelligence programming challenge
DynamlScala Library/REPL for Machine Learning Research
Pyss3A Python package implementing a new machine learning model for text classification with visualization tools for Explainable AI
Free Ai Resources🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!
Bet On SibylMachine Learning Model for Sport Predictions (Football, Basketball, Baseball, Hockey, Soccer & Tennis)
ModeltimeModeltime unlocks time series forecast models and machine learning in one framework
SnapatacAnalysis Pipeline for Single Cell ATAC-seq
Matlab OctaveThis 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.
AlgorithmsA 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.
CumlcuML - RAPIDS Machine Learning Library
100 Days Of Ml CodeA day to day plan for this challenge. Covers both theoritical and practical aspects
Seal CiA PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)
GroupimgA script in python to organize your images by similarity.
Machine learningEstudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.
Machine Learning ModelsDecision 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"
C Plus PlusCollection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
Machine Learning Workflow With PythonThis is a comprehensive ML techniques with python: Define the Problem- Specify Inputs & Outputs- Data Collection- Exploratory data analysis -Data Preprocessing- Model Design- Training- Evaluation
NmflibraryMATLAB library for non-negative matrix factorization (NMF): Version 1.8.1
HdbscanA high performance implementation of HDBSCAN clustering.
MarianaThe Cutest Deep Learning Framework which is also a wonderful Declarative Language
Data Structures And AlgorithmsData 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.
MlkitA simple machine learning framework written in Swift 🤖
Real Time Ml ProjectA curated list of applied machine learning and data science notebooks and libraries across different industries.
Awesome Quantum Machine LearningHere you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
AixijsAIXIjs - General Reinforcement Learning in the Browser
EchoPython package containing all custom layers used in Neural Networks (Compatible with PyTorch, TensorFlow and MegEngine)
CleanlabThe standard package for machine learning with noisy labels, finding mislabeled data, and uncertainty quantification. Works with most datasets and models.
Ml Dl ScriptsThe repository provides usefull python scripts for ML and data analysis
TslearnA machine learning toolkit dedicated to time-series data
Machine learning lecturesCollection of lectures and lab lectures on machine learning and deep learning. Lab practices in Python and TensorFlow.
Daal4pysources for daal4py - a convenient Python API to oneDAL
SodAn Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)