Tensors and Dynamic neural networks in Python with strong GPU acceleration

Models and examples built with TensorFlow

My Python Examples

tensorboard for pytorch (and chainer, mxnet, numpy, ...)

A PyTorch Implementation of Single Shot MultiBox Detector

PyTorch ,ONNX and TensorRT implementation of YOLOv4

Simple, online, and realtime tracking of multiple objects in a video sequence.

(OLD REPO) Line-by-line profiling for Python - Current repo ->

PyTorch pre-trained model for real-time interest point detection, description, and sparse tracking (https://arxiv.org/abs/1712.07629)

Deep learning with dynamic computation graphs in TensorFlow

Avalanche: an End-to-End Library for Continual Learning based on PyTorch.

📊 Benchmark multiple object trackers (MOT) in Python

Video classification tools using 3D ResNet

A list of synthetic dataset and tools for computer vision

A generalized framework for prototyping full-stack cooperative driving automation applications under CARLA+SUMO.

Tensorflow implementation of YOLO, including training and test phase.

Official implementation of Joint Monocular 3D Vehicle Detection and Tracking (ICCV 2019)

Library and utilities for 3d reconstruction from stereo cameras.

Visualize PyTorch tensors with a single line of code.

SiamFC tracking in TensorFlow.

(CoRL 2019) Driving in CARLA using waypoint prediction and two-stage imitation learning

Spherical Kernel for Efficient Graph Convolution on 3D Point Clouds

[NO MAINTENANCE INTENDED] A PyTorch implementation of CapsNet architecture in the NIPS 2017 paper "Dynamic Routing Between Capsules".

This repository contains the official implementation of the paper "STEm-Seg: Spatio-temporal Embeddings for Instance Segmentation in Videos"

Deep Motion Modeling Network

link gitlab push to github

official repo of STTR3D

Omni-MOT dataset recorder

This is a copy content from https://github.com/CongliangLi/LabelImg3D