Efficient Image Captioning code in Torch, runs on GPU
Repositories
jwyang Repositories
Dynamically predicted neural network structures for multi-domain question answering
Numenta Platform for Intelligent Computing: a brain-inspired machine intelligence platform, and biologically accurate neural network based on cortical learning algorithms.
Probabilistic Torch is library for deep generative models that extends PyTorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO) and Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR).
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)
I would appreciate if someone can retrain the model. The "finetune from scratch" result should be better because the training details have been changed. (And mobilenet training not supported yet.)
A Port of Fréchet Inception Distance (FID score) to PyTorch
Deep Reinforcement Learning with pytorch & visdom
Paper by Miyato et al. https://openreview.net/forum?id=B1QRgziT-
PyTorch Tutorial for Deep Learning Researchers
PyTorch Geometric Deep Learning Library
R-CNN: Regions with Convolutional Neural Network Features
"Scene Graph Generation by Iterative Message Passing" code repository
Code for "Image Generation from Scene Graphs", Johnson et al, CVPR 2018
🤗 smolagents: a barebones library for agents. Agents write python code to call tools and orchestrate other agents.
GANs with spectral normalization and projection discriminator
Modules for spatial transformer networks (BHWD layout)