Fine-tuning, training en data
TRL
huggingface/trl
A library for post-training transformer models with supervised fine-tuning and preference-optimization methods.
★ 19,5K⑂ 3,1KPython
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Fine-tuning, training en data
tensorflow
tensorflow/tensorflow
A machine learning framework for building, training and deploying models.
★ 198,8K⑂ 76,2KC++
Fine-tuning, training en data
pytorch
pytorch/pytorch
A deep learning framework with tensor computation, automatic differentiation and GPU acceleration.
★ 102,8K⑂ 29,1KPython
Fine-tuning, training en data
keras
keras-team/keras
A high-level API for building and training deep learning models.
★ 64,3K⑂ 19,8KPython
Fine-tuning, training en data
scikit-learn
scikit-learn/scikit-learn
A Python machine learning library for classification, regression, clustering and model evaluation.
★ 67,2K⑂ 27,4KPython
LLM en foundationmodellen
minimind
jingyaogong/minimind
A lightweight implementation for exploring small language model pretraining and fine-tuning.
★ 58,6K⑂ 7,6KPython
Fine-tuning, training en data
LlamaFactory
hiyouga/LlamaFactory
A unified fine-tuning toolkit for large language and vision-language models.
★ 74,6K⑂ 9,1KPython
Fine-tuning, training en data
pytorch-lightning
Lightning-AI/pytorch-lightning
Organize PyTorch training with reusable loops, checkpoints, logging, and device strategies.
★ 31,3K⑂ 3,8KPython
Fine-tuning, training en data
ColossalAI
hpcaitech/ColossalAI
Distributed training and inference tools for parallelism and memory management in large-model workloads.
★ 41,4K⑂ 4,5KPython
Fine-tuning, training en data
DeepSpeed
deepspeedai/deepspeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
★ 43K⑂ 4,9KPython
Fine-tuning, training en data
aikit
kaito-project/aikit
🏗️ Fine-tune, build, and deploy open-source LLMs easily!
★ 535⑂ 57Go
Agents en multi-agents
Flyte 2: Dynamic, Resilient AI Orchestration
flyteorg/flyte
Flyte is an open-source orchestration framework for reliably building, scaling, and deploying machine learning pipelines, models, and agents using pure Python.
★ 7,2K⑂ 861Go
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