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Forked from EpistasisLab/tpot
A Python tool that automatically creates and optimizes machine learning pipelines using genetic programming.
Python
Forked from ChristosChristofidis/awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
Forked from apache/mxnet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
C++
Forked from shogun-toolbox/shogun
The Shogun Machine Learning Toolbox (Source Code)
C++
Forked from VowpalWabbit/vowpal_wabbit
Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive lea…
C++
Forked from daft-dev/daft
Render some probabilistic graphical models using matplotlib
Python
STUMPY is a powerful and scalable Python library that can be used for a variety of time series data mining tasks
Hurdle Distributed Multiple Regression (HDMR) implemented in Julia
Google's TensorFlow binding for .NET Standard, building and running the Machine Learning models in CSharp.
NumPy + SciPy in .NET Core. Tensor computation library used by other SciSharp projects.
Dive into Deep Learning, Berkeley STAT 157 (Spring 2019) textbook. With code, math, and discussions.
Constrained and Unconstrained Risk budgeting allocation in Python
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