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A state-of-the-art conversational AI library using transfer learning and GPT-2 models.
A PyTorch implementation of a paper on artistic style transfer for videos.
An easy-to-use and high-performance AI deployment framework for developers
A PyTorch implementation of the NIPS 2017 paper on Dynamic Routing Between Capsules.
A toolbox of models, callbacks, and datasets for AI/ML researchers using PyTorch.
A powerful NLP library for transfer learning and building question answering systems.
PyTorch implementation of Poincarรฉ Embeddings for learning hierarchical representations.
SOLO and SOLOv2 are instance segmentation models for computer vision tasks, built with PyTorch.
A PyTorch implementation of various Knowledge Distillation (KD) methods for model compression and transfer learning.
A deep learning-based tool for separating vocals from audio signals, useful for music production and audio processing.
PyTorch-based library for image classification tasks like CIFAR-10, CIFAR-100, and ImageNet.
PyTorch library for building semantic segmentation models for computer vision applications.
A PyTorch-based AI factory that enables easy configuration and running of complex AI recipes across various data domains.
A PyTorch extension library with optimized scatter operations for efficient data processing.
PyTorch implementation of a unified framework for human motion imitation, appearance transfer, and novel view synthesis.
State-of-the-art audio codec with 90x compression factor for developers.
A lightweight PyTorch library with training tools and utilities for deep learning and machine learning developers.
A PyTorch implementation of the PWC-Net, a CNN-based optical flow estimation model for computer vision tasks.
A PyTorch library for applying convolutional neural networks to 3D mesh data.
A modular framework for 3D Gaussian splatting and related techniques for multi-view reconstruction.
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