6667 Open source projects that are alternatives of or similar to Weakly Supervised 3d Object Detection

Awesome Graph Self-Supervised Learning

R package for airborne LiDAR data manipulation and visualisation for forestry application

100-Days-Of-ML-Code中文版

[ICCV 2019 Oral] TA3N: https://github.com/cmhungsteve/TA3N (Most updated repo)

ROS package to find a rigid-body transformation between a LiDAR and a camera for "LiDAR-Camera Calibration using 3D-3D Point correspondences"

A ground segmentation algorithm for 3D point clouds based on the work described in “Fast segmentation of 3D point clouds: a paradigm on LIDAR data for Autonomous Vehicle Applications”, D. Zermas, I. Izzat and N. Papanikolopoulos, 2017. Distinguish between road and non-road points. Road surface extraction. Plane fit ground filter

😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.

Behind the Curtain: Learning Occluded Shapes for 3D Object Detection

Transfer Learning Library

TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow

PyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning

High Quality Monocular Depth Estimation via Transfer Learning

Visualising LIDAR data from KITTI dataset.

Experiments on unsupervised point cloud reconstruction.

Video Representation Learning by Recognizing Temporal Transformations. In ECCV, 2020.

A comprehensive list of awesome contrastive self-supervised learning papers.

Here is the official implementation of the model KD3A in paper "KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation".

和（he for objective-c） —— “信息熵减机系统”

LiDAR fog simulation

Neural Paiters

Paper reading notes on Deep Learning and Machine Learning

Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101

Official Keras & PyTorch Implementation and Pre-trained Models for Models Genesis - MICCAI 2019

3D LIDAR-based Graph SLAM

PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"

How to do Unsupervised Clustering with Keras

Unsupervised learning of atomic scale dynamics from molecular dynamics.

A stable algorithm for GAN training

Deep Learning Autonomous Car based on Raspberry Pi, SunFounder PiCar-V Kit, TensorFlow, and Google's EdgeTPU Co-Processor

a sklearn wrapper for Google's BERT model

Julia bindings for the displaz lidar viewer

Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]

Official version of 'Weakly Supervised 3D object detection from Lidar Point Cloud'(ECCV2020)

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks

[ICCV2021 Oral] Fooling LiDAR by Attacking GPS Trajectory

Real-time LIDAR-based Urban Road and Sidewalk detection for Autonomous Vehicles 🚗

python codes for remote sensing applications will be uploaded here. I will try to teach everything I learn during my projects in here.

KITTI data processing and 3D CNN for Vehicle Detection

Learning to Cluster. A deep clustering strategy.

Learn how to use PyTorch to solve some common NLP problems with deep learning.

Transfer Learning Shootout for PyTorch's model zoo (torchvision)

Interactive Map Correction for 3D Graph SLAM

PyTorch implementation of the CortexNet predictive model

Train a state-of-the-art yolov3 object detector from scratch!

Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

Official repository for the paper "High-Resolution Daytime Translation Without Domain Labels" (CVPR2020, Oral)

🚕 Fast and robust clustering of point clouds generated with a Velodyne sensor.

Pytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Skin cancer classification using Inceptionv3

Deep-learning seismic facies on state-of-the-art CNN architectures

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

Building an image classifier using keras

Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning. CVPR 2018

BERT-NER (nert-bert) with google bert https://github.com/google-research.

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

This repository stores the files used for my summer internship's work on "teacher-student learning", an experimental method for training deep neural networks using a trained teacher model.

🔤 Calculate average word embeddings (word2vec) from documents for transfer learning