1.baidu-baige / LoongSage
A production-grade, high-efficiency Agentic RL framework for frontier LLMs with validated recipes.
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17 repositories by Attention Score · Oct 5, 2026 – Nov 3, 2026 (UTC)
A production-grade, high-efficiency Agentic RL framework for frontier LLMs with validated recipes.
Ongoing research training transformer models at scale
Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 600+ LLMs (Qwen3.8, DeepSeek-V4, GLM-5.1, InternLM3, Llama4, ...) and 300+ MLLMs (Qwen3-VL, Qwen3-Omni, InternVL3.5, Ovis2.5, GLM5.3, Gemma4, Llava, Phi4, ...) (AAAI 2025).
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Go ahead and axolotl questions
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
TranslatedPArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (Core framework of 'PaddlePaddle' (飞桨, Feijiang), for deep learning & machine learning: high-performance single-machine and distributed training, and cross-platform deployment)
Making large AI models cheaper, faster and more accessible
Easy-to-use and powerful LLM and SLM library with awesome model zoo.
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Simple and Distributed Machine Learning Python Library porting ML algorithms for Spark
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility