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

Deep Learning: Image classification, feature visualization and transfer learning with Keras

Julia bindings for the displaz lidar viewer

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

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

VGG-19 deep learning model trained using ISCX 2012 IDS Dataset

Learning to Cluster. A deep clustering strategy.

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

100-Days-Of-ML-Code中文版

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

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

Transfer Learning Library

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

Interactive Map Correction for 3D Graph SLAM

A Laser-Camera Calibration Toolbox extending from that at http://www.cs.cmu.edu/~ranjith/lcct.html

Complete-Life-Cycle-of-a-Data-Science-Project

Light-weight camera LiDAR calibration package for ROS using OpenCV and PCL (PnP + LM optimization)

Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)

A hackable lidar viewer

Research platform for 3D object detection in PyTorch.

A stable algorithm for GAN training

PyTorch implementation of the CortexNet predictive model

3D LIDAR-based Graph SLAM

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

Uses Zillow metadata, NLP on realtor description, and VGG16 on home images to predict home sale prices in Portland from 6/16 - 7/17.

Micheal Gardner的数据科学笔记

Repo for Applied Text Mining in Python (coursera) by University of Michigan

Jupyter notebooks and datasets for this course

This repository includes the guidelines and the exercise files of the first part of my lectures on python for scientific programming which is dedicated to a general introduction to Python programming language. These lectures are a part of the "Energy and Environmental Technologies for Building Systems" course offered for M.Sc in Energy Eng. at Politecnico di Milano.

A multi-dimensional embedding algorithm

Contains an implementation (sklearn API) of the algorithm proposed in "GENDIS: GEnetic DIscovery of Shapelets" and code to reproduce all experiments.

Docker container for the Raspberry Pi containing Tensorflow and Jupyter

tuSimple dataset road lane instance segmentation with PyTorch, ROS, ENet, SegNet and Discriminative Loss.

Do STFT in Keras

Principles of Machine Learning R

🎓 Jupyter notebooks from UFC data science course

TensorFlow implementation of Deep Graph Infomax

Composable GAN framework with api and user interface

Web-based Reinforcement Learning Control Center

Port of Single Shot MultiBox Detector to Keras

Create automatic playlists by using Deep Learning to *listen* to the music

Classify images, specifically document images like ID cards, application forms, and cheque leafs, using CNN and the Keras libraries.

A python tutorial for a Bayesian treatment of Linear Regression: https://zjost.github.io/bayesian-linear-regression/

Discrete Normalizing Flows implemented in PyTorch

Interactive Data Visualisation of U.S College Majors

Udacity Self-Driving Car Engineer Nanodegree. Project: Vehicle Detection and Tracking

Curso de Inteligencia Artificial aplicada a Negocios y Empresas

2020 MIND news recomendation first place solution

📖 Labeled examples from wiki dumps in Python

Material for a Computational Social Science (CSS) Workshop hosted by the four Dutch technical universities.

Embedded Graph Convolutional Neural Networks (EGCNN) in TensorFlow

Collapsed Variational Bayes

Lectures for Udemy - INLP

Python code and notebooks for reference

Principles of Data Science by Packt

🔍 Attentional interfaces in TensorFlow.