Stars
Fast Differentiable Sorting and Ranking
Fast, differentiable sorting and ranking in PyTorch
Demo repository showing how to create a model from production traces
Fastest enterprise AI gateway (50x faster than LiteLLM) with adaptive load balancer, cluster mode, guardrails, 1000+ models support & <100 µs overhead at 5k RPS.
A Claude Code plugin that automatically captures everything Claude does during your coding sessions, compresses it with AI (using Claude's agent-sdk), and injects relevant context back into future …
"rsync for cloud storage" - Google Drive, S3, Dropbox, Backblaze B2, One Drive, Swift, Hubic, Wasabi, Google Cloud Storage, Azure Blob, Azure Files, Yandex Files
A tool for creating and running Linux containers using lightweight virtual machines on a Mac. It is written in Swift, and optimized for Apple silicon.
Speed up model training by fixing data loading.
Standalone implementation of RealMLP-TD-S and its data preprocessing for tabular data classification and regression
A comprehensive toolkit and benchmark for tabular data learning, featuring 35+ deep methods, more than 10 classical methods, and 300 diverse tabular datasets.
A Living Benchmark for Machine Learning on Tabular Data
Fast and Accurate ML in 3 Lines of Code
Lightweight and educational reimplementation of TabPFN https://arxiv.org/pdf/2511.03634
Minimal, fast + educational reimplementation of the TabICLv2 architecture
⚡ TabPFN: Foundation Model for Tabular Data ⚡
The implementation of "TabR: Unlocking the Power of Retrieval-Augmented Tabular Deep Learning"
list/copy/sync/compare S3 buckets 5x-50x faster than aws-cli
🔥 Blazing fast bulk data transfers between any cloud 🔥
A polyglot document intelligence framework with a Rust core. Extract text, metadata, images, and structured information from PDFs, Office documents, images, and 91+ formats. Available for Rust, Pyt…
Build compute kernels and load them from the Hub.
A Python-embedded DSL that makes it easy to write fast, scalable ML kernels with minimal boilerplate.
A minimal, secure Python interpreter written in Rust for use by AI
(ICLR 2025) TabM: Advancing Tabular Deep Learning With Parameter-Efficient Ensembling
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
🐶 Kubernetes CLI To Manage Your Clusters In Style!
Optimize prompts, code, and more with AI-powered Reflective Text Evolution
Control plane for agents and engineers to provision compute and run training and inference across NVIDIA, AMD, TPU, and Tenstorrent GPUs—on clouds, Kubernetes, and bare-metal clusters.