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🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Models and examples built with TensorFlow
Robust Speech Recognition via Large-Scale Weak Supervision
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
AGI's query engine - Platform for building AI that can learn and answer questions over federated data.
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.
Open source UI framework written in Python, running on Windows, Linux, macOS, Android and iOS
A very simple framework for state-of-the-art Natural Language Processing (NLP)
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
Ongoing research training transformer models at scale
Statsmodels: statistical modeling and econometrics in Python
A Python implementation of global optimization with gaussian processes.
Automated Machine Learning with scikit-learn
An open source python library for automated feature engineering
Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts
Audio fingerprinting and recognition in Python
NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.
Modeling, training, eval, and inference code for OLMo
A generic JSON document store with sharing and synchronisation capabilities.
Deep Learning Tutorial notes and code. See the wiki for more info.
Multimodal Unsupervised Image-to-Image Translation