Traingenerator🧙 A web app to generate template code for machine learning
Ryuzaki botSimple chatbot in Python using NLTK and scikit-learn
AilearningAiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
PythondatasciencehandbookThe book was written and tested with Python 3.5, though other Python versions (including Python 2.7) should work in nearly all cases.
Flu PredictionPredicting Future Influenza Virus Sequences with Machine Learning
Crime AnalysisAssociation Rule Mining from Spatial Data for Crime Analysis
Icon2017Repository for the ICON 2017 hackathon 'multivoxel pattern analysis (MVPA) of fMRI data in Python'
NolearnCombines the ease of use of scikit-learn with the power of Theano/Lasagne
GplearnGenetic Programming in Python, with a scikit-learn inspired API
Model Describermodel-describer : Making machine learning interpretable to humans
FoxcrossAsyncIO serving for data science models
OttoOtto makes machine learning an intuitive, natural language experience. 🏆 Facebook AI Hackathon winner ⭐️ #1 Trending on MadeWithML.com ⭐️ #4 Trending JavaScript Project on GitHub ⭐️ #15 Trending (All Languages) on GitHub
KmodesPython implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data
Machine Learning With PythonSmall scale machine learning projects to understand the core concepts . Give a Star 🌟If it helps you. BONUS: Interview Bank coming up..!
Hyperparameter hunterEasy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
FeaturetoolsAn open source python library for automated feature engineering
HungabungaHungaBunga: Brute-Force all sklearn models with all parameters using .fit .predict!
MachinelearningMy blogs and code for machine learning. http://cnblogs.com/pinard
Prince👑 Python factor analysis library (PCA, CA, MCA, MFA, FAMD)
BaikalA graph-based functional API for building complex scikit-learn pipelines.
AlphapyAutomated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost
Data Science PortfolioPortfolio of data science projects completed by me for academic, self learning, and hobby purposes.
Handson MlA series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
OpenscoringREST web service for the true real-time scoring (<1 ms) of Scikit-Learn, R and Apache Spark models
SkllSciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.
Scikit MultiflowA machine learning package for streaming data in Python. The other ancestor of River.
PalladiumFramework for setting up predictive analytics services
OnnxmltoolsONNXMLTools enables conversion of models to ONNX
Best Of Ml Python🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
OnnxruntimeONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Data Science Ipython NotebooksData science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Sklearn BayesPython package for Bayesian Machine Learning with scikit-learn API
Machinejs[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml
Actionaicustom human activity recognition modules by pose estimation and cascaded inference using sklearn API
SkorchA scikit-learn compatible neural network library that wraps PyTorch
KymatioWavelet scattering transforms in Python with GPU acceleration
Giotto TdaA high-performance topological machine learning toolbox in Python
SktimeA unified framework for machine learning with time series
NeuraxleA Sklearn-like Framework for Hyperparameter Tuning and AutoML in Deep Learning projects. Finally have the right abstractions and design patterns to properly do AutoML. Let your pipeline steps have hyperparameter spaces. Enable checkpoints to cut duplicate calculations. Go from research to production environment easily.
Sktime Dlsktime companion package for deep learning based on TensorFlow
InterpretFit interpretable models. Explain blackbox machine learning.
Libfaceidlibfaceid is a research framework for prototyping of face recognition solutions. It seamlessly integrates multiple detection, recognition and liveness models w/ speech synthesis and speech recognition.
Profanity CheckA fast, robust Python library to check for offensive language in strings.
ThesemicolonThis repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.
Deep Learning WizardOpen source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, C++ and more.