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An open source framework for seq2seq models in PyTorch.
An easy-to-use federated learning platform for developers building AI/ML applications.
A PyTorch library for rethinking network pruning techniques to improve model performance.
Generates realistic images from text using a Pix2Pix GAN.
A Python library for differentiable robotics and pose estimation using deep learning and optimization.
A PyTorch implementation of Federated Learning, a distributed machine learning technique.
A large-scale dataset of raw MRI measurements and clinical MRI images for medical imaging research.
A Python library for 3D multi-person mesh recovery from monocular images.
Implementation of an alternative to backpropagation for training neural networks using PyTorch.
This repository provides implementations of different architectures for emotion recognition in conversations.
A PyTorch library for working with neural fields like NeRFs, NGLOD, instant-ngp, and VQAD.
Brevitas is a PyTorch library for neural network quantization, enabling efficient hardware acceleration on FPGAs and other devices.
Implementation of various generative adversarial network (GAN) models in popular deep learning frameworks
A library of code samples and examples for deep learning and computer vision, targeting beginners.
A PyTorch implementation of Deformable Convolution Networks V2 (DCNv2), a powerful computer vision technique.
A PyTorch library for training and evaluating convolutional neural networks (CNNs) for image retrieval.
A PyTorch implementation of Deep Convolutional Generative Adversarial Networks (DCGAN) for developers interested in AI-powered image generation.
PyTorch code for image super-resolution using very deep residual channel attention networks
Adapts Meta AI's Segment Anything model to downstream tasks using adapters and prompts.
CCNet is a semantic segmentation library that uses Criss-Cross Attention to improve scene parsing performance.
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