DorelComan

hydra

Hydra is a framework for elegantly configuring complex applications

detectron2

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

AdelaiDet

AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.

alpha_vantage

A python wrapper for Alpha Vantage API for financial data.

automl

Google Brain AutoML

segmentation_models

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

keras-yolo3

A Keras implementation of YOLOv3 (Tensorflow backend)

pytorch-CycleGAN-and-pix2pix

Image-to-Image Translation in PyTorch

3D-Machine-Learning

A resource repository for 3D machine learning

Open3D

Open3D: A Modern Library for 3D Data Processing

Towards-Realtime-MOT

Joint Detection and Embedding for fast multi-object tracking

introtodeeplearning

Lab Materials for MIT 6.S191: Introduction to Deep Learning

PANet

PANet for Instance Segmentation and Object Detection

numerical-linear-algebra

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

GCNet

GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond

pytorch-ssd

MobileNetV1, MobileNetV2, VGG based SSD/SSD-lite implementation in Pytorch 1.0 / Pytorch 0.4. Out-of-box support for retraining on Open Images dataset. ONNX and Caffe2 support. Experiment Ideas like CoordConv.

mlpack

mlpack: a fast, header-only C++ machine learning library

Introduction-to-Machine-Learning-C-Libraries

Introduction to Machine Learning C++ Libraries, published by Packt

Pointnet2.ScanNet

PointNet++ Semantic Segmentation on ScanNet in PyTorch with CUDA acceleration

Pointnet_Pointnet2_pytorch

PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.

3D-SIS

[CVPR'19] 3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans

pointnet2

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

simple-faster-rcnn-pytorch

A simplified implemention of Faster R-CNN that replicate performance from origin paper

PointRCNN

PointRCNN+Frustum Pointnet

PointRCNN

PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud, CVPR 2019.

semseg

Semantic Segmentation in Pytorch

frustum-convnet

The PyTorch Implementation of F-ConvNet for 3D Object Detection

ensemble_learning_for_point_clouds

Code snippets used in the paper: 3D Object Recognition with Ensemble Learning—A Study of Point Cloud-Based Deep Learning Models

PointSeg

Mono3DPLiDAR

Official PyTorch Implementation for "Monocular 3D Object Detection with Pseudo-LiDAR Point Cloud", ICCVW 2019