55 Machine Learning packages and projects
-
PaddlePaddle
9.6 10.0 L1 C++PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署) -
H2O
8.8 9.7 Jupyter NotebookH2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc. -
karateclub
6.1 7.0 PythonKarate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020) -
xgboost
9.8 9.6 L1 C++Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow -
Data Flow Facilitator for Machine Learning (dffml)
3.3 9.1 PythonThe easiest way to use Machine Learning. Mix and match underlying ML libraries and data set sources. Generate new datasets or modify existing ones with ease. -
Prophet
9.5 6.2 PythonTool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth. -
SciKit-Learn Laboratory
3.9 8.7 PythonSciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments. -
seqeval
4.6 0.0 PythonA Python framework for sequence labeling evaluation(named-entity recognition, pos tagging, etc...) -
adaptive
4.5 6.2 Python:chart_with_upwards_trend: Adaptive: parallel active learning of mathematical functions -
neptune-contrib
1.4 0.0 PythonThis library is a location of the LegacyLogger for PyTorch Lightning. -
bodywork
3.1 0.0 PythonDISCONTINUED. ML pipeline orchestration and model deployments on Kubernetes. -
Sacred
7.5 3.5 PythonSacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA. -
NuPIC
8.8 0.0 L3 PythonDISCONTINUED. Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of intelligence based strictly on the neuroscience of the neocortex. -
Crab
5.7 0.0 L2 PythonCrab is a flexible, fast recommender engine for Python that integrates classic information filtering recommendation algorithms in the world of scientific Python packages (numpy, scipy, matplotlib). -
skflow
7.6 1.3 L4 PythonDISCONTINUED. Simplified interface for TensorFlow (mimicking Scikit Learn) for Deep Learning -
brew
3.2 0.0 L4 PythonDISCONTINUED. Multiple Classifier Systems and Ensemble Learning Library in Python. -
Feature Forge
3.5 0.0 L4 PythonA set of tools for creating and testing machine learning features, with a scikit-learn compatible API -
Clairvoyant
7.2 0.0 L3 PythonSoftware designed to identify and monitor social/historical cues for short term stock movement -
awesome-embedding-models
6.0 0.0 Jupyter NotebookA curated list of awesome embedding models tutorials, projects and communities. -
Metrics
6.2 0.0 PythonMachine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave -
ChaiPy
1.5 0.0 PythonDISCONTINUED. A developer interface for creating advanced chatbots for the Chai app. -
TrueSkill, the video game rating system
4.2 1.4 PythonAn implementation of the TrueSkill rating system for Python -
OptaPy
2.7 5.5 JavaOptaPy is an AI constraint solver for Python to optimize planning and scheduling problems. -
Robocorp Action Server
3.1 9.8 PythonCreate 🐍 Python AI Actions and 🤖 Automations, and deploy & operate them anywhere
InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
Promo
www.influxdata.com
* Code Quality Rankings and insights are calculated and provided by Lumnify.
They vary from L1 to L5 with "L5" being the highest.