Pinned Repositories
datasets
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
datasets
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
datasets-tagging
A Streamlit app to add structured tags to the datasets
datasets_readme_generator
Automatically create READMEs for datasets
lerobot
🤗 LeRobot: State-of-the-art Machine Learning for Real-World Robotics in Pytorch
notebooks
Some notebooks for NLP
pytorch-lightning
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
transformers
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
lhoestq's Repositories
lhoestq/lerobot
🤗 LeRobot: State-of-the-art Machine Learning for Real-World Robotics in Pytorch
lhoestq/notebooks
Some notebooks for NLP
lhoestq/pytorch-lightning
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
lhoestq/transformers
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
lhoestq/datasets
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
lhoestq/datasets-tagging
A Streamlit app to add structured tags to the datasets
lhoestq/datasets_readme_generator
Automatically create READMEs for datasets
lhoestq/beam
Apache Beam is a unified programming model for Batch and Streaming data processing.
lhoestq/dask
Parallel computing with task scheduling
lhoestq/DeDLOC
Official code for "Distributed Deep Learning in Open Collaborations"
lhoestq/img2dataset
Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.
lhoestq/libsndfile-binaries
Pre-compiled shared libraries for libsndfile
lhoestq/lm-evaluation-harness
A framework for few-shot evaluation of language models.
lhoestq/pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
lhoestq/super-dataloading-benchmarks
lhoestq/webdataset
A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.