Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Pytorch implementation of convolutional neural network visualization techniques

Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

Mask RCNN in TensorFlow

unet for image segmentation

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!

Segmentation models with pretrained backbones. PyTorch.

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

Sandbox for training convolutional networks for computer vision

Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds

Collection of papers, datasets, code and other resources for object tracking and detection using deep learning

Unsupervised Word Segmentation for Neural Machine Translation and Text Generation

This is an official implementation of semantic segmentation for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919

Awesome GAN for Medical Imaging

Paper and implementation of UNet-related model.

Caffe models (including classification, detection and segmentation) and deploy files for famouse networks

[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)

《深度学习与计算机视觉》配套代码

An Implementation of Fully Convolutional Networks in Tensorflow.

PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)

Convolutional Neural Network for 3D meshes in PyTorch

CCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019).

Multi-platform, free open source software for visualization and image computing.

A Kitti Road Segmentation model implemented in tensorflow.

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.