PyTorch Tutorial for Deep Learning Researchers
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Updated
Aug 15, 2023 - Python
PyTorch Tutorial for Deep Learning Researchers
A resource for learning about Machine learning & Deep Learning
SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection
Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning
Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)
PyTorch 官方中文教程包含 60 分钟快速入门教程,强化教程,计算机视觉,自然语言处理,生成对抗网络,强化学习。欢迎 Star,Fork!
Accompanying code for Paperspace tutorial series "How to Implement YOLO v3 Object Detector from Scratch"
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
A best practice for deep learning project template architecture.
A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.
A simple and extensible library to create Bayesian Neural Network layers on PyTorch.
A scalable template for PyTorch projects, with examples in Image Segmentation, Object classification, GANs and Reinforcement Learning.
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution
Pytorch seq2seq chatbot
🔥 Reproducibly benchmarking Keras and PyTorch models
Empower Sequence Labeling with Task-Aware Neural Language Model | a PyTorch Tutorial to Sequence Labeling
Pytorch implementation of convolutional neural network adversarial attack techniques
Attention Is All You Need | a PyTorch Tutorial to Transformers
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