pycobrapython library implementing ensemble methods for regression, classification and visualisation tools including Voronoi tesselations.
Stars: ✭ 111 (+141.3%)
EgoSplittingA NetworkX implementation of "Ego-splitting Framework: from Non-Overlapping to Overlapping Clusters" (KDD 2017).
Stars: ✭ 78 (+69.57%)
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.
Stars: ✭ 231 (+402.17%)
Grokking-Machine-LearningThis repo aims to contain different machine learning use cases along with the descriptions to the model architectures
Stars: ✭ 54 (+17.39%)
Igela delightful machine learning tool that allows you to train, test, and use models without writing code
Stars: ✭ 2,956 (+6326.09%)
scikit-learn-intelexIntel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
Stars: ✭ 887 (+1828.26%)
RioGNNReinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks
Stars: ✭ 46 (+0%)
Halite IiSeason 2 of @twosigma's artificial intelligence programming challenge
Stars: ✭ 201 (+336.96%)
Barabasi-Albert NetworkBarabási–Albert Network. A Step-by-Step Model with Visualizations created in Python 3.
Stars: ✭ 43 (-6.52%)
osdg-toolOSDG is an open-source tool that maps and connects activities to the UN Sustainable Development Goals (SDGs) by identifying SDG-relevant content in any text. The tool is available online at www.osdg.ai. API access available for research purposes.
Stars: ✭ 22 (-52.17%)
aibolitStatic Analyzer for Java Code with Machine Learning in Mind
Stars: ✭ 53 (+15.22%)
loloA random forest
Stars: ✭ 37 (-19.57%)
Pretty Print Confusion MatrixConfusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib
Stars: ✭ 244 (+430.43%)
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)。
Stars: ✭ 236 (+413.04%)
deep-blueberryIf you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!
Stars: ✭ 17 (-63.04%)
linear chain crfA HMM-like linear-chain CRF, used Tensorflow API. 🐣
Stars: ✭ 37 (-19.57%)
regression-pythonIn this repository you can find many different, small, projects which demonstrate regression techniques using python programming language
Stars: ✭ 15 (-67.39%)
Meta Learning PapersA classified list of meta learning papers based on realm.
Stars: ✭ 193 (+319.57%)
Free Ai Resources🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!
Stars: ✭ 192 (+317.39%)
FineCodeCoverageVisualize unit test code coverage easily for free in Visual Studio Community Edition (and other editions too)
Stars: ✭ 391 (+750%)
bayesnaive bayes in php
Stars: ✭ 61 (+32.61%)
densratio pyA Python Package for Density Ratio Estimation
Stars: ✭ 112 (+143.48%)
PaperWeeklyAI📚「@MaiweiAI」Studying papers in the fields of computer vision, NLP, and machine learning algorithms every week.
Stars: ✭ 50 (+8.7%)
Python-CoursePython Basics, Machine Learning and Deep Learning
Stars: ✭ 50 (+8.7%)
ml course"Learning Machine Learning" Course, Bogotá, Colombia 2019 #LML2019
Stars: ✭ 22 (-52.17%)
leaflet-velocityVisualise velocity data on a leaflet layer
Stars: ✭ 467 (+915.22%)
Suod(MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection)
Stars: ✭ 245 (+432.61%)
LearningxDeep & Classical Reinforcement Learning + Machine Learning Examples in Python
Stars: ✭ 241 (+423.91%)
MLclassMy main Machine Learning class
Stars: ✭ 56 (+21.74%)
Aleph starReinforcement learning with A* and a deep heuristic
Stars: ✭ 235 (+410.87%)
OLSTECOnLine Low-rank Subspace tracking by TEnsor CP Decomposition in Matlab: Version 1.0.1
Stars: ✭ 30 (-34.78%)
Self Attention CvImplementation of various self-attention mechanisms focused on computer vision. Ongoing repository.
Stars: ✭ 209 (+354.35%)
Machine Learning Code《统计学习方法》与常见机器学习模型(GBDT/XGBoost/lightGBM/FM/FFM)的原理讲解与python和类库实现
Stars: ✭ 169 (+267.39%)
Statistical-Learning-using-RThis is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.
Stars: ✭ 27 (-41.3%)
DynamlScala Library/REPL for Machine Learning Research
Stars: ✭ 195 (+323.91%)
awesome-awesome-machine-learningA curated list of awesome lists across all machine learning topics. | 机器学习/深度学习/人工智能一切主题 (学习范式/任务/应用/模型/道德/交叉学科/数据集/框架/教程) 的资源列表汇总。
Stars: ✭ 394 (+756.52%)
Pyss3A Python package implementing a new machine learning model for text classification with visualization tools for Explainable AI
Stars: ✭ 191 (+315.22%)
Bet On SibylMachine Learning Model for Sport Predictions (Football, Basketball, Baseball, Hockey, Soccer & Tennis)
Stars: ✭ 190 (+313.04%)
mlzero to heroNo description or website provided.
Stars: ✭ 40 (-13.04%)
rankpruning🧹 Formerly for binary classification with noisy labels. Replaced by cleanlab.
Stars: ✭ 81 (+76.09%)
RobustPCANo description or website provided.
Stars: ✭ 15 (-67.39%)