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A PyTorch implementation of Tacotron 2, a state-of-the-art text-to-speech model, with faster-than-realtime inference.
An official PyTorch implementation of the StarGAN image-to-image translation model from CVPR 2018.
A PyTorch reimplementation of the EfficientDet object detection model with SOTA performance in real-time.
Superduper is an end-to-end framework for building custom AI applications and agents using Python, PyTorch, and Transformers.
ZenML is a production-ready AI platform that provides a unified framework for building, deploying, and managing ML pipelines and agents.
A PyTorch-based implementation of the Single Shot MultiBox Detector for object detection in computer vision tasks.
A high-performance real-time instance segmentation library for computer vision applications.
A comprehensive platform for learning, simulating, and live trading of stocks using AI and ML techniques.
This repository provides the code for the book 'Deep Learning with PyTorch', a comprehensive guide to building deep neural networks using PyTorch.
A user-friendly template for ML experimentation using PyTorch Lightning and Hydra.
Core ML tools for converting, editing, and validating machine learning models for deployment.
This is a repository for the Udacity Deep Reinforcement Learning Nanodegree program, focusing on deep reinforcement learning algorithms and techniques.
A Python library for probabilistic time series modeling and forecasting, useful for data scientists and ML engineers.
An arbitrary face-swapping framework on images and videos with one single trained model!
Pretrained PyTorch models for face detection and facial recognition, useful for building computer vision applications.
PyTorch implementation of the MoCo self-supervised learning framework for computer vision tasks.
A PyTorch-based platform for training and deploying generative AI models.
A PyTorch template for deep learning projects with easy setup and organization.
A Python library for serving large language models (LLMs) with high performance, including GPU acceleration and distributed inference.
A Python library for learning machine learning and deep learning using PyTorch and Scikit-Learn.
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