machine-learning
Projects with this topic
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Reasoning Computers. Lambda Calculus, Fully Differentiable. Also Neural Stacks, Queues, Arrays, Lists, Trees, and Latches.
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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 -
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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huggingface.co/transformers https://github.com/huggingface/transformers🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.Updated -
https://github.com/Lightning-AI/lightning-Habana Lightning support for Intel Habana accelerators.
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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 -
https://github.com/mlc-ai/mlc-assistant Chat with your documents and improve your writing using large-language models within your browser.
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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/princeton-nlp/CharXiv CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs
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A curated list of awesome Machine Learning frameworks, libraries and software.
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https://github.com/coqui-ai/Trainer
🐸 - A general purpose model trainer, as flexible as it getsUpdated -
https://github.com/coqui-ai/coqpit Simple but maybe too simple config management through python data classes. We use it for machine learning.
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https://github.com/coqui-ai/snakepit
🐍 Coqui's machine learning job schedulerUpdated -
https://github.com/silv-io/mulambda A Serverless Platform for Automated Machine Learning
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