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-approximate_nearest_neighbors

-optimization-problem

-reinforcement_learning

academy

Ray tutorials from Anyscale

approaching_machine_learning

output

arrow

Apache Arrow is a cross-language development platform for in-memory data. It specifies a standardized language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware. It also provides computational libraries and zero-copy streaming messaging and interprocess communication. Languages currently supported include C, C++, Java, JavaScript, Python, and Ruby.

awesome-causality-data

A data index for learning causality.

awesome-mlops

A curated list of references for MLOps

bayse

biggan-pytorch

The author's officially unofficial PyTorch BigGAN implementation.

bigquery-storage

A small Rust wrapper around the Google BigQuery Storage API.

c_pra_pra_study

c++ ni

causal_inference

chainer_tutorial

computer-vision-video-lectures

A curated list of free, high-quality, university-level courses with video lectures related to the field of Computer Vision.

crypto-rl

Deep Reinforcement Learning toolkit: record and replay cryptocurrency limit order book data & train a DDQN agent

data-science-cheat-sheets-collection

Repository of Cheat Sheets pertaining to Data Science

death_voice

dopamine

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

econml

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

eda_tools_test

fedot-benchmarks

Comparison tool for the state-of-the-art AutoML frameworks

finance_ml

finrl-library

A Deep Reinforcement Learning Library for Automated Trading in Quantitative Finance.

forex-rl-challenge

A Deep Reinforcement Learning Challenge on Forex Portfolio Management

free-programming-books

:books: Freely available programming books

gan_study

gcp_study

gokart

A wrapper of the data pipeline library "luigi"