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Source channel @githubtrending · Post #15439 · Jan 27
#rust#protobuf#rust Prost is a Rust tool that turns Protocol Buffers (.proto) files into simple, readable Rust code for proto2/proto3. It keeps comments, uses Rust derives for clean types, handles packages as modules, preserves unknown enums, and serializes existing types easily—add to Cargo.toml and use prost-build in build.rs. You benefit by getting fast, safe, idiomatic Rust for efficient data serialization in gRPC/microservices, saving time on boilerplate while ensuring memory safety and performance. https://github.com/tokio-rs/prost
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@repo_science · Post #3807 · 12/19/2023, 05:08 AM
#AutoML 🐍 AutoML: Build Production-Ready Models Quickly! Learn the basics of building production-ready automated machine learning (AutoML) models. ----- Main channel: @repo_science Coupons: @freecoupons_reposcience -----
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@githubtrending · Post #14863 · 06/24/2025, 01:30 PM
#other#automl#chatgpt#data_analysis#data_science#data_visualization#data_visualizations#deep_learning#gpt#gpt_3#jax#keras#machine_learning#ml#nlp#python#pytorch#scikit_learn#tensorflow#transformer This is a comprehensive, regularly updated list of 920 top open-source Python machine learning libraries, organized into 34 categories like frameworks, data visualization, NLP, image processing, and more. Each project is ranked by quality using GitHub and package manager metrics, helping you find the best tools for your needs. Popular libraries like TensorFlow, PyTorch, scikit-learn, and Hugging Face transformers are included, along with specialized ones for time series, reinforcement learning, and model interpretability. This resource saves you time by guiding you to high-quality, actively maintained libraries for building, optimizing, and deploying machine learning models efficiently. https://github.com/ml-tooling/best-of-ml-python