1.NVIDIA / Megatron-LM
Ongoing research training transformer models at scale
- large-language-models
- model-para
- transformers
Ranked by Attention Score: stars gained over the last 90 complete days
15 repositories by Attention Score · Aug 6, 2026 – Nov 3, 2026 (UTC)
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
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Go ahead and axolotl questions
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.
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
PaddleFormers is an easy-to-use library of pre-trained large language model zoo based on PaddlePaddle.
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more