chengtan9907/OpenSTL
quality grade C, 54 out of 100OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning
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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Core deep-learning frameworks and libraries for pretraining and distributed training.
Signals: deep-learning, neural-network, pytorch, tensorflow, jax, distributed-training, training, deepspeed
2,663 results
OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning
🏖 Keras Implementation of Painting outside the box
rPPG-Toolbox: Deep Remote PPG Toolbox (NeurIPS 2023)
Demo programs for the Talking Head Anime from a Single Image 2: More Expressive project.
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Corruption and Perturbation Robustness (ICLR 2019)
Composable GAN framework with api and user interface
Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org
AdvancedEAST is an algorithm used for Scene image text detect, which is primarily based on EAST, and the significant improvement was also made, which make long text predictions more accurate.https://github.com/huoyijie/raspberrypi-car
Real time emotion recognition
An out-of-box human parsing representation extractor.
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ktrain is a Python library that makes deep learning and AI more accessible and easier to apply
A clean and readable Pytorch implementation of CycleGAN
Recent Transformer-based CV and related works.
A collection of computer vision pre-trained models.
A PyTorch-based library for semi-supervised learning (NeurIPS'21)
[CVPR 2021] Multi-Stage Progressive Image Restoration. SOTA results for Image deblurring, deraining, and denoising.
This repository is the official implementation of Disentangling Writer and Character Styles for Handwriting Generation (CVPR 2023)
This repository contains small projects related to Neural Networks and Deep Learning in general. Subjects are closely linekd with articles I publish on Medium. I encourage you both to read as well as to check how the code works in the action.
Research Framework for easy and efficient training of GANs based on Pytorch
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