541 Open source projects that are alternatives of or similar to Traffic-Signs

A collection of all projects pertaining to different layers in the SDC software stack

Grid-GCN for Fast and Scalable Point Cloud Learning

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SimpleAICV:pytorch training example on ImageNet(ILSVRC2012)/COCO2017/VOC2007+2012 datasets.Include ResNet/DarkNet/RetinaNet/FCOS/CenterNet/TTFNet/YOLOv3/YOLOv4/YOLOv5/YOLOX.

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10 days 10 different practical applications of Deep Learning (primarily NLP) using Tensorflow and Keras

MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20

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Deep learning, Convolutional neural networks, Image processing, Document processing, Table detection, Page object detection, Table classification. https://www.sciencedirect.com/science/article/pii/S0925231221018142

An extended Kalman Filter implementation in C++ for fusing lidar and radar sensor measurements.

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ugtm: a Python package for Generative Topographic Mapping

Selective Classification For Deep Neural Networks.

Implement popular models by different DL framework. Such as tensorflow and caffe

Autonomous driving trajectory planning solution for U-Turn scenario

Natural World Tasks

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Code for NeurIPS 2019 Paper

Bird's eye/Top Down view generation and mapping with deep learning.

Autonomous driving simulation in the Unity engine.

OpenMMLab Model Compression Toolbox and Benchmark.

Repository for anime characters recognition website, powered by TensorFlow

The repository hosts the code for the SBST CPS Tool competition for testing autonomous cars.

Code for replicating results of team 'hateminers' at EVALITA-2018 for AMI task

A PyTorch-based open-source framework that provides methods for improving the weakly annotated data and allows researchers to efficiently develop and compare their own methods.

immuneML is a platform for machine learning analysis of adaptive immune receptor repertoire data.

Vectorized Machine Learning in Python 🐍 From Scratch

The aim of this project is to allow a self driving car to steer autonomously in a virtual environment.

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Detecting Frauds in Online Transactions using Anamoly Detection Techniques Such as Over Sampling and Under-Sampling as the ratio of Frauds is less than 0.00005 thus, simply applying Classification Algorithm may result in Overfitting

Self-driving RC Car ROS Software

A python implementation of Patchy-San Convolutional Network for Graph

Coding up a Neural Network Classifier from Scratch

Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network

Project work and Assignments for Machine learning specialization course on Coursera by University of washington

Estimating the orientation and the relative dimensions of vehicles by producing a 3d bounding frame

A simple collection of well working NLP models (Keras, H2O, StarSpace) tuned and benchmarked on a variety of datasets.

Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deployment as a RESTful service on Kubernetes.

ROSE project car race game

An efficient implementation of Partitioned Label Trees & its variations for extreme multi-label classification

Ramp up your custom natural language processing (NLP) task, allowing you to bring your own data, use your preferred frameworks and bring models into production.

Lane Lines Detection using Python and OpenCV for self-driving car

Kaggle Titanic example

This repo contains regression and classification projects. Examples: development of predictive models for comments on social media websites; building classifiers to predict outcomes in sports competitions; churn analysis; prediction of clicks on online ads; analysis of the opioids crisis and an analysis of retail store expansion strategies using…

A flexible Python front-end inference SDK based on TensorRT

Online machine learning methods

High-resolution breast cancer screening with multi-view deep convolutional neural networks

Drug effect prediction using neural network

Classifying time series using feature extraction

Use machine learning in AppInventor, with easy training using text, images, or numbers through the Machine Learning for Kids website.

D-Lab's 6 hour introduction to machine learning in R. Learn the fundamentals of machine learning, regression, and classification, using tidymodels in R.

Machine learning code base of Meng Li

Super simple text classifier using Naive Bayes. Plug-and-play, no dependencies

Model verification, validation, and error analysis

Machine Learning models from scratch with a better visualisation

Tools to suggest SQL columns for Pyrog

Social Signal Processing for Android