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FastAPI Best Practices and Conventions we used at our startup

【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.

📊 Path to a free self-taught education in Data Science!

CLI tool which enables you to login and retrieve AWS temporary credentials using a SAML IDP

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Hydra is a framework for elegantly configuring complex applications

Hummingbird compiles trained ML models into tensor computation for faster inference.

Simple Python version management

a pyenv plugin to manage virtualenv (a.k.a. python-virtualenv)

Best Practices on Recommendation Systems

Dagger is an easy-to-use, configuration over code, cloud-native framework built on top of Apache Flink for stateful processing of real-time streaming data.

Define sophisticated data pipelines with Python and run them on different distributed systems (such as Argo Workflows).

Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristi…

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

Template for nbdev projects

📐 Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external libs usage.

This repository contains a new generative model of chatbot based on seq2seq modeling.