Open-source data movement for ELT pipelines and AI agents — from APIs, databases & files to warehouses, lakes, and AI applications. Both self-hosted and Cloud.

starter from "How to Train a GAN?" at NIPS2016

Collection of notes and howtos. Questions / ideas -> please open an issue :) Also check my blog:

Sequential Preference-Based Optimization

Deep universal probabilistic programming with Python and PyTorch

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

Python wrapper of the C version of the Dubins-Curves library

Task scheduling and blocked algorithms for parallel processing

A curated list of awesome Machine Learning frameworks, libraries and software.

Design of Experiments for Python

Oryx 2: Lambda architecture on Apache Spark, Apache Kafka for real-time large scale machine learning

Computing with Python functions.

scikit-learn: machine learning in Python

Apache Spark - A unified analytics engine for large-scale data processing

A Python-embedded modeling language for convex optimization problems.

Gaussian processes in TensorFlow

Benchmark suite of test functions suitable for evaluating black-box optimization strategies

Efficiently computes derivatives of NumPy code.

Distributed Asynchronous Hyperparameter Optimization in Python

Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.…

An Open Source Machine Learning Framework for Everyone

Optimization Examples with SigOpt