Starred repositories
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Models and examples built with TensorFlow
A curated list of awesome Machine Learning frameworks, libraries and software.
Clone a voice in 5 seconds to generate arbitrary speech in real-time
Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and…
A Gradio web UI for Large Language Models with support for multiple inference backends.
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source …
Code for the paper "Language Models are Unsupervised Multitask Learners"
Turn (almost) any Python command line program into a full GUI application with one line
Magenta: Music and Art Generation with Machine Intelligence
Open standard for machine learning interoperability
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
State-of-the-Art Text Embeddings
Image augmentation for machine learning experiments.
OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
A very simple framework for state-of-the-art Natural Language Processing (NLP)
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).