Projects sharing features with Pytorch Deeplab Resnet

This project is a modular PyTorch framework for training and evaluating object detection and instance segmentation models. It serves as a computer vision research tool and a deep learning inference engine designed to identify object locations, classes, and pixel-level masks within images. The framework implements a two-stage inference pipeline that utilizes region proposal networks and a symmetric mask-head architecture. It provides specialized capabilities for instance segmentation, object bounding box detection, and human pose estimation via anatomical keypoint detection. The system includ

A PyTorch implementation of DenseNet.

Implementation of various Deep Image Segmentation models in keras.

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

PyTorch implementation of Fader Networks (NIPS 2017).

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

StackGAN-v1: Tensorflow implementation

Classification with PyTorch.

Pixel-wise segmentation on the VOC2012dataset dataset using pytorchpytorch.

PyTorch Implementation of Realtime Multi-Person Pose Estimation project.

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

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

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 Deformable Convolution

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

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