open-mmlab/mmocr
quality grade C, 56 out of 100OpenMMLab Text Detection, Recognition and Understanding Toolbox
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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
2,672 results
OpenMMLab Text Detection, Recognition and Understanding Toolbox
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)
It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.
The 3rd edition of course.fast.ai
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
An arbitrary face-swapping framework on images and videos with one single trained model!
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
A simple, fully convolutional model for real-time instance segmentation.
The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.
Code Repository for Machine Learning with PyTorch and Scikit-Learn
StarGAN - Official PyTorch Implementation (CVPR 2018)
PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡
Rust bindings for the C++ api of PyTorch.
Supercharge Your Model Training
A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)
Pytorch🍊🍉 is delicious, just eat it! 😋😋
NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥
95.47% on CIFAR10 with PyTorch
[ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box
NYU Deep Learning Spring 2020
AI实战-practicalAI 中文版
Open Source Neural Machine Translation and (Large) Language Models in PyTorch
:fire: 2D and 3D Face alignment library build using pytorch
24,540 repositories in the index in total.