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config files for zsh, bash, completions, gem, git, irb, rails
🧙 Build, run, and manage data pipelines for integrating and transforming data.
Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
Synthetic data generators for tabular and time-series data
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…
Library for reading and writing large multi-dimensional arrays.
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and mo…
A bunch of links to blog posts, articles, videos, etc for learning Rust
Classic papers and resources on recommendation
Standardized Serverless ML Inference Platform on Kubernetes
An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
The Triton Inference Server provides an optimized cloud and edge inferencing solution.
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
Hand curated advice and pointers for getting started with Rust
Define infrastructure resources using programming constructs and provision them using Azure ARM templates
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…
TFRecorder makes it easy to create TensorFlow records (TFRecords) from Pandas DataFrames and CSVs files containing images or structured data.
Gin provides a lightweight configuration framework for Python
High-quality implementations of standard and SOTA methods on a variety of tasks.
Flax is a neural network library for JAX that is designed for flexibility.