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.

unet for image segmentation

Segmentation models with pretrained backbones. PyTorch.

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

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

Mask RCNN in TensorFlow

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

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

Sandbox for training deep learning networks

The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

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

PaddlePaddle End-to-End Development Toolkit（『飞桨』深度学习全流程开发工具）

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

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

Unsupervised Word Segmentation for Neural Machine Translation and Text Generation

Paper and implementation of UNet-related model.

Awesome GAN for Medical Imaging

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

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

《深度学习与计算机视觉》配套代码

Pytorch framework for doing deep learning on point clouds.

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

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

An Implementation of Fully Convolutional Networks in Tensorflow.

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

Convolutional Neural Network for 3D meshes in PyTorch

PyTorch extensions for fast R&D prototyping and Kaggle farming