A resource for learning about Machine learning & Deep Learning
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Updated
Aug 17, 2024 - Python
A resource for learning about Machine learning & Deep Learning
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A Collection of Variational Autoencoders (VAE) in PyTorch.
[CVPR2020] Adversarial Latent Autoencoders
👁️ 🖼️ 🔥PyTorch Toolbox for Image Quality Assessment, including PSNR, SSIM, LPIPS, FID, NIQE, NRQM(Ma), MUSIQ, TOPIQ, NIMA, DBCNN, BRISQUE, PI and more...
State-of-the-art, simple, fast unbounded / large-scale NeRFs.
The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.
This repository is the official implementation of Disentangling Writer and Character Styles for Handwriting Generation (CVPR 2023)
LibCity: An Open Library for Urban Spatial-temporal Data Mining
A simple and extensible library to create Bayesian Neural Network layers on PyTorch.
Pytorch implementation for "Large-Scale Long-Tailed Recognition in an Open World" (CVPR 2019 ORAL)
[CVPR 2022] FaceFormer: Speech-Driven 3D Facial Animation with Transformers
[ACL 2024] Official PyTorch code for extracting features and training downstream models with emotion2vec: Self-Supervised Pre-Training for Speech Emotion Representation
A Pytorch Implementation of "Neural Speech Synthesis with Transformer Network"
Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.
nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that were used to develop and evaluate the performance of the proposed method.
Official Pytorch implementation of 6DRepNet: 6D Rotation representation for unconstrained head pose estimation.
Benchmark of federated learning. Dedicated to the community. 🤗
Official implementation for "Generating Diverse and Natural 3D Human Motions from Texts (CVPR2022)."
Voice Conversion by CycleGAN (语音克隆/语音转换): CycleGAN-VC2
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