mlcommons/training
Reference implementations of MLPerf® training benchmarks
Reference implementations of MLPerf® inference benchmarks
Reference implementations of MLPerf® training benchmarks
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
Efficient Triton Kernels for LLM Training
OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
Developer Asset Hub for NVIDIA Nemotron — A one-stop resource for training recipes, usage cookbooks, datasets, and full end-to-end reference examples to build with Nemotron models
A distributed Spark/Scala implementation of the isolation forest and extended isolation forest algorithms for unsupervised outlier detection, featuring support for scalable training and ONNX export for easy cross-platform inference.
1 capture since 2026-05-25