ToolAI.io · GitHub 채널
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공개 리포지토리 데이터
NVIDIA/Isaac-GR00T
NVIDIA’s robot models and reference code offer multimodal action prediction, demonstration-data adaptation, fine-tuning and deployment tooling.
hydra-ecosystem/hydra
A configuration framework for Python applications that manages experiments through configuration composition, command-line overrides, and multirun execution. It is suitable for organizing data, model, and training parameters into reusable configuration structures.
Lightning-AI/pytorch-lightning
Organize PyTorch training with reusable loops, checkpoints, logging, and device strategies.
hpcaitech/ColossalAI
Distributed training and inference tools for parallelism and memory management in large-model workloads.
jingyaogong/minimind
A lightweight implementation for exploring small language model pretraining and fine-tuning.
keras-team/keras
A high-level API for building and training deep learning models.
scikit-learn/scikit-learn
A Python machine learning library for classification, regression, clustering and model evaluation.
hiyouga/LlamaFactory
A unified fine-tuning toolkit for large language and vision-language models.
pytorch/pytorch
A deep learning framework with tensor computation, automatic differentiation and GPU acceleration.
tensorflow/tensorflow
A machine learning framework for building, training and deploying models.
NVIDIA/physicsnemo
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
NVIDIA/Megatron-LM
Ongoing research training transformer models at scale
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