| accelerate | Run your *raw* PyTorch training script on any kind of device |
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| caffe2 | A deep learning framework |
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| clearml | Auto-Magical CI/CD to streamline your AI workload |
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| cudnn-frontend | A c++ wrapper for the cudnn backend API |
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| datasets | Access and share datasets for Audio, Computer Vision, and NLP tasks |
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| evaluate | makes evaluating, comparing models and reporting their performance easier |
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| fastai | The fastai deep learning library |
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| fastcore | Python supercharged for the fastai library |
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| fastdownload | Easily download, verify, and extract archives |
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| fastprogress | Simple and flexible progress bar for Jupyter Notebook and console |
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| FBGEMM | Facebook GEneral Matrix Multiplication |
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| foxi | ONNXIFI with Facebook Extension |
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| FP16 | conversion to/from half-precision floating point formats |
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| gemmlowp | Low-precision matrix multiplication |
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| gloo | library of floating-point neural network inference operators |
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| huggingface_hub | a client library to interact with the Hugging Face Hub |
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| ideep | Intel Optimization for Chainer |
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| jiwer | Evaluate an automatic speech recognition system |
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| kineto | part of the PyTorch Profiler |
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| NNPACK | acceleration package for neural network computations |
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| oneDNN | oneAPI Deep Neural Network Library |
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| onnx | Open Neural Network Exchange (ONNX) |
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| pytorch | Tensors and Dynamic neural networks in Python |
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| safetensors | Simple, safe way to store and distribute tensors |
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| sentencepiece | Text tokenizer for Neural Network-based text generation |
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| seqeval | Python framework for sequence labeling evaluation |
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| tensorpipe | provides a tensor-aware channel |
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| tokenizers | Implementation of today's most used tokenizers |
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| torchdata | A repo for data loading and utilities on PyTorch domain libraries. |
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| torchvision | Datasets, transforms and models to specific to computer vision |
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| transformers | State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow |
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| XNNPACK | library of floating-point neural network inference operators |
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