Projects with this topic
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https://github.com/modelscope/modelscopeModelScope: bring the notion of Model-as-a-Service to life.
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https://github.com/roboflow/inference A fast, easy-to-use, production-ready inference server for computer vision supporting deployment of many popular model architectures and fine-tuned models.
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https://github.com/pytorch/pytorchTensors and Dynamic neural networks in Python with strong GPU acceleration
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https://github.com/Lightning-AI/torchmetrics Torchmetrics - Machine learning metrics for distributed, scalable PyTorch applications.
https://lightning.ai/docs/torchmetrics/Updated -
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https://github.com/transformerlab/transformerlab-docsPublic Documentation for Transformer Lab
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https://github.com/transformerlab/transformerlab-app Open Source Application for Advanced LLM Engineering: interact, train, fine-tune, and evaluate large language models on your own computerUpdated -
https://github.com/transformerlab/galleriesGalleries for Models, Datasets, and Plugins used by Transformer Lab
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https://github.com/Lightning-AI/pytorch-lightning
lightning.ai Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.Updated -
Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.
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https://github.com/huggingface/speech-to-speechSpeech To Speech: an effort for an open-sourced and modular GPT4-o
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https://github.com/HumanSignal/label-studio-ml-backendConfigs and boilerplates for Label Studio's Machine Learning backend
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https://github.com/Lightning-AI/tutorials Collection of Pytorch lightning tutorial form as rich scripts automatically transformed to ipython notebooks.
https://lightning-ai.github.io/tutorialsUpdated -
https://github.com/MinishLab/model2vecThe Fastest State-of-the-Art Static Embeddings in the World
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https://github.com/takara-ai/SwarmFormer-CFull C implementation of the SwarmFormer model architecture.
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