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Search results for machine learning algorithms
algorithms
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machine-learning
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439 search results found
Gdrl
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422
Grokking Deep Reinforcement Learning
H2o4gpu
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421
H2Oai GPU Edition
Irl Imitation
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412
Implementation of Inverse Reinforcement Learning (IRL) algorithms in python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL
Carefree Learn
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400
Deep Learning ❤️ PyTorch
User Machine Learning Tutorial
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386
useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html
Fbp
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384
FBP项目全称FootBallPrediction,历经9个月完成的足球比赛预测项目。项目结合大数据 现在想通过认识更多的有识之士,一起探索如何将项目做大做强,找到合伙人,实现共赢。希望感兴趣的同仁联系 8月10日:13让负(正确) 8月11日:27让负(正确) 8月12日:11让负(正确) 8月13日:6胜(不正确) 8月14日:25让负(正确) 8月15日:无预测 8月16日:1胜(正确) 8月17日:6让负(正确) 8月18日:16胜(正确) 8月19
Sharplearning
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372
Machine learning for C# .Net
100daysofmlcode
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369
Lagom
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365
lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
Ml Projectkart
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362
🙌Kart of 232+ projects based on machine learning, deep learning, computer vision, natural language processing and all. Show your support by ✨ this repository.
Cxxgraph
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361
Header-Only C++ Library for Graph Representation and Algorithms
Histomicstk
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350
A Python toolkit for pathology image analysis algorithms.
Algorithms Cheatsheet Resources
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331
🤓All the geeky stuffs you need to know at one place!
Sealion
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328
The first machine learning framework that encourages learning ML concepts instead of memorizing class functions.
Graspologic
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322
Python package for graph statistics
Openrec
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316
OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms
Machine Learning Algorithms From Scratch
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312
Implementing machine learning algorithms from scratch.
Neo4j Nlp
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304
NLP Capabilities in Neo4j
Maml
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300
Python for Materials Machine Learning, Materials Descriptors, Machine Learning Force Fields, Deep Learning, etc.
Haste
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298
Haste: a fast, simple, and open RNN library
Efficient Apriori
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286
An efficient Python implementation of the Apriori algorithm.
Fuku Ml
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278
Simple machine learning library / 簡單易用的機器學習套件
Featureselectionga
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274
Feature Selection using Genetic Algorithm (DEAP Framework)
Morn
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270
Morn是一个C语言的基础工具和基础算法库,包括数据结构、图像处理、音频处理、机器学习等,具有简单、
Artificio
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269
Deep Learning Computer Vision Algorithms for Real-World Use
Matlab Octave
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250
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.
Abagail
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249
The library contains a number of interconnected Java packages that implement machine learning and artificial intelligence algorithms. These are artificial intelligence algorithms implemented for the kind of people that like to implement algorithms themselves.
Machine Learning Curriculum
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248
Complete path for a beginner to become a Machine Learning Scientist!
The Python Workshop
⭐
245
A New, Interactive Approach to Learning Python
Incubator Samoa
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242
Mirror of Apache Samoa (Incubating)
Yoloface
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240
Deep learning-based Face detection using the YOLOv3 algorithm (https://github.com/sthanhng/yoloface)
Ml_implementation
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238
Implementation of Machine Learning Algorithms
Ml Games
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238
Machine learning games. Use combination of genetic algorithms and neural networks to control the behaviour of in-game objects.
Ciencia_datos
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237
El curso en español, de acceso abierto y gratuito más grande del mundo sobre Ciencia de Datos en salud.
Machine Learning Goodness
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235
The Machine Learning project including ML/DL projects, notebooks, cheat codes of ML/DL, useful information on AI/AGI and codes or snippets/scripts/tasks with tips.
Awesome Cs Books
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232
计算机优质电子书整理,并且附带pdf下载链接,包括C,C++,Java,Python,Java,Li
Deeplearningwithtf2.0
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227
Practical Exercises in TensorFlow 2.0 for Ian Goodfellows Deep Learning Book
Machine Learning For Beginner By Python3
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225
为机器学习的入门者提供多种基于实例的sklearn、TensorFlow以及自编函数(AnFany)
Stable Baselines
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221
Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms
Pyodds
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221
An End-to-end Outlier Detection System
Pilco
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213
Bayesian Reinforcement Learning in Tensorflow
My Awesome Ai Bookmarks
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210
Curated list of my reads, implementations and core concepts of Artificial Intelligence, Deep Learning, Machine Learning by best folk in the world.
Ml Roadmap
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208
🤖 Roadmap to becoming a Machine Learning developer in 2020
Learn Statistical Learning Method
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204
Implementation of Statistical Learning Method, Second Edition.《统计学习方法》第二版,算法实现。
Antropy
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203
AntroPy: entropy and complexity of (EEG) time-series in Python
Jstarcraft Ai
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201
目标是提供一个完整的Java机器学习(Machine Learning/ML)框架,作为人工智能在学术界与工业界的桥梁. 让相关领域的研发人员能够在各种软硬件环境/数据结构/算法/模型之间无缝切换. 涵盖了从数据处理到模型的训练与评估各个环节,支持硬件加速和并行计算,是最快最全的Java机器学习库.
Imbalanced Algorithms
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199
Python-based implementations of algorithms for learning on imbalanced data.
Genetic Cnn
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197
CNN architecture exploration using Genetic Algorithm
Deeplearing Interview Awesome 2024
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196
We'll cover some of the most common Deep Learning Interview Questions and answers and provide detailed answers to help you
Deeplearning Notes
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194
Notes for Deep Learning Specialization Courses led by Andrew Ng.
P2rank
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193
P2Rank: Protein-ligand binding site prediction tool based on machine learning. Stand-alone command line program / Java library for predicting ligand binding pockets from protein structure.
Ml From Scratch
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188
All the ML algorithms, ML models are coded from scratch by pure Python/Numpy with the Math under the hood. It works well on CPU.
Atari Model Zoo
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187
A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release that enables easy visualization and analysis of models, and comparison across training algorithms.
Learnlib
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186
A free, open-source Java library for automata learning algorithms
Computer_science
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175
Computer Science Topics
Ml_algo
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171
Machine learning algorithms in Dart programming language
Prml
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168
Python implementations (on jupyter notebook) of algorithms described in the book "PRML"
Metaprob
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162
An embedded language for probabilistic programming and meta-programming.
Pyramid
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162
Open source Machine Learning library written in Java
Multi Type Td Tsr
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161
Extracting Tables from Document Images using a Multi-stage Pipeline for Table Detection and Table Structure Recognition:
Memorize
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160
Code and real data for "Enhancing Human Learning via Spaced Repetition Optimization", PNAS 2019
Skills Ml
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159
Data Processing and Machine learning methods for the Open Skills Project
Disease Prediction From Symptoms
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159
Disease Prediction based on Symptoms.
Falkon
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158
Large-scale, multi-GPU capable, kernel solver
Bet On Sibyl
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157
Machine Learning Model for Sport Predictions (Football, Basketball, Baseball, Hockey, Soccer & Tennis)
Ml
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153
经典机器学习算法的极简实现
Learn Python
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152
Python Top 45 Articles of 2017
Data Algorithms With Spark
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151
O'Reilly Book: [Data Algorithms with Spark] by Mahmoud Parsian
Vision Ui
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151
视觉UI分析工具
Irl Maxent
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151
Maximum Entropy and Maximum Causal Entropy Inverse Reinforcement Learning Implementation in Python
Awesome Data Science Viz
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150
💥 📈 A curated list of data science, analysis and visualization tools
Book_list
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149
Python, Machine Learning, Deep Learning and Data Science Books
Graph Data Science Client
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148
A Python client for the Neo4j Graph Data Science (GDS) library
Aws Ai Ml Workshop Kr
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147
A collection of localized (Korean) AWS AI/ML workshop materials for hands-on labs.
Scriptsdump
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141
The biggest dump of scripts ever!
Community
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141
A Python implementation of Girvan-Newman algorithm
Boostaroota
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139
A fast xgboost feature selection algorithm
Echo
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138
Python package containing all custom layers used in Neural Networks (Compatible with PyTorch, TensorFlow and MegEngine)
Algorithmia Python
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137
Python Client for Algorithmia Algorithms and Data API
Pyxab
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135
PyXAB - A Python Library for X-Armed Bandit and Online Blackbox Optimization Algorithms
Artificial Intelligence And Machine Learning
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135
A repository for implementation of artificial intelligence algorithm which includes machine learning and deep learning algorithm as well as classical AI search algorithm
Gocommons
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134
Common Go lang data structures, utilities, ML algorithms etc
Qlik Py Tools
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132
Data Science algorithms for Qlik implemented as a Python Server Side Extension (SSE).
Scene Text Recognition
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131
Scene text detection and recognition based on Extremal Region(ER)
Intrusion And Anomaly Detection With Machine Learning
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129
Machine learning algorithms applied on log analysis to detect intrusions and suspicious activities.
Hands On Machine Learning For Cyber Security
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127
Hands-On Machine Learning for Cybersecurity, published by Packt
Deepsuperlearner
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126
DeepSuperLearner - Python implementation of the deep ensemble algorithm
Foundry
⭐
125
The Cognitive Foundry is an open-source Java library for building intelligent systems using machine learning
Machine Learning And Data Science
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119
This is a repository which contains all my work related Machine Learning, AI and Data Science. This includes my graduate projects, machine learning competition codes, algorithm implementations and reading material.
Ycml
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118
A Machine Learning and Optimization framework for Objective-C and Swift (MacOS and iOS)
Hands On Machine Learning With Scikit Learn And Scientific Python Toolkits
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112
The accompanying code for the book "Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits". A practical guide to implementing supervised and unsupervised machine learning algorithms in Python by Tarek Amr
Flexs
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112
Fitness landscape exploration sandbox for biological sequence design.
Awesome Machine Learning Deep Learning Mathematics
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110
A curated list of mathematics documents ,Concepts, Study Materials , Algorithms and Codes available across the internet for machine learning and deep learning
Mu8
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110
Genetic algorithm for unsupervised machine learning in Go.
Replay
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109
A Comprehensive Framework for Building End-to-End Recommendation Systems with State-of-the-Art Models
Data Science Introduction With R
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109
R 语言数据科学导论 | Data Science Introduction with R
Clust4j
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108
A suite of classification clustering algorithm implementations for Java. A number of partitional, hierarchical and density-based algorithms including DBSCAN, k-Means, k-Medoids, MeanShift, Affinity Propagation, HDBSCAN and more.
Machinelearning.jl
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108
Julia Machine Learning library
Machinelearning
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106
Machine learning for beginner(Data Science enthusiast)
Scitime
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105
Training time estimation for scikit-learn algorithms
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