Description
This framework is an evolved fork of DeepDIVA: A Highly-Functional Python Framework for Reproducible Experiments.
The major differences are the full adoption of an object oriented programming design, the polishing of the workflow, the introduction of an optimized inference-use case and a better isolation between the tasks.
This work has been conducted during an internship at V7, London, UK.
V7 Gale alternatives and similar packages
Based on the "Machine Learning" category.
Alternatively, view Gale alternatives based on common mentions on social networks and blogs.
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xgboost
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 -
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PaddlePaddle
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） -
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Prophet
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth. -
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H2O
H2O 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. -
NuPIC
DISCONTINUED. 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. -
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Sacred
Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA. -
Clairvoyant
Software designed to identify and monitor social/historical cues for short term stock movement -
karateclub
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020) -
awesome-embedding-models
A curated list of awesome embedding models tutorials, projects and communities. -
Crab
Crab 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). -
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seqeval
A Python framework for sequence labeling evaluation(named-entity recognition, pos tagging, etc...) -
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SciKit-Learn Laboratory
SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments. -
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Feature Forge
A set of tools for creating and testing machine learning features, with a scikit-learn compatible API -
Robocorp Action Server
Create 🐍 Python AI Actions and 🤖 Automations, and deploy & operate them anywhere -
Data Flow Facilitator for Machine Learning (dffml)
DISCONTINUED. The 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. -
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Scout Monitoring - Free Django app performance insights with Scout Monitoring
* Code Quality Rankings and insights are calculated and provided by Lumnify.
They vary from L1 to L5 with "L5" being the highest.
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