Projects sharing features with StackGAN V2

PyTorch Code for the paper "VSE++: Improving Visual-Semantic Embeddings with Hard Negatives"

PyTorch implementation of Interpretable Explanations of Black Boxes by Meaningful Perturbation

Classification with PyTorch.

Visual Question Answering in Pytorch

PyTorch DepthNet Training on Still Box dataset

Train an RL agent to execute natural language instructions in a 3D Environment (PyTorch)

A PyTorch implementation for PyramidNets (Deep Pyramidal Residual Networks, https://arxiv.org/abs/1610.02915)

PyTorch implementation of Fader Networks (NIPS 2017).

An efficient PyTorch implementation of the winning entry of the 2017 VQA Challenge.

DeepLab resnet v2 model in pytorch

Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)

A PyTorch implementation of DenseNet.

Pixel-wise segmentation on the VOC2012dataset dataset using pytorchpytorch.

An implementation of RetinaNet in PyTorch.

PyTorch implementation of Deformable Convolution

This is a PyTorch object detection framework that implements the Single Shot MultiBox Detector for identifying and localizing multiple objects within images and video. The project provides a neural network architecture designed for single-shot object detection, which predicts bounding boxes and class labels in one pass. The implementation includes a real-time object detector capable of processing live video streams to track and label objects across sequential frames. It also features a complete computer vision training pipeline for preparing image datasets and training model weights. The fra

PyTorch Implementation of Realtime Multi-Person Pose Estimation project.

This is a PyTorch-based computer vision library for detecting 2D and 3D facial landmark coordinates. It functions as a facial landmark detector and reconstruction tool, utilizing deep learning to identify precise geometric points on human faces from image datasets. The library allows for the selection of specific detection backends to balance accuracy and processing speed. It supports the integration of precomputed bounding box files, which enables the system to bypass the initial detection phase and proceed directly to landmark extraction. The toolkit includes capabilities for batch image p

Implementation of "GANs for Biological Image Synthesis"

Generate captions for an image using PyTorch

ConvNet training using pytorch

This repo is implementation for PointNet(https://arxiv.org/abs/1612.00593) in pytorch. The model is in pointnet/model.py.

Neural Module Network for VQA in Pytorch

This is easy-to-follow Capsule Network tutorial with clean readable code: Capsule Network.ipynb

A simple PyTorch Implementation of Generative Adversarial Networks, focusing on anime face drawing.