Disclaimer: This repo consists of only the additional python scripts necessary to run the agent. To run the project on your own personal device, please first download carla release 0.9.10 and then extract and insert these additional python scripts provided in the repo to the PythonAPI/examples path.
Pay attention that in order to run the project, you need to have tensorflow==1.14 and keras==2.2.5
End-to-End Referring Video Object Segmentation with Multimodal Transformers This repo contains the official implementation of the paper: End-to-End Re
Node-level Graph Regression with Deep Gaussian Process Models Prerequests our implementation is mainly based on tensorflow 1.x and gpflow 1.x: python
UAV Solar-Sensor Angle Calculation Table of Contents About The Project Built With Getting Started Prerequisites Installation Datasets Contributing Lic
Representer Point Selection via Local Jacobian Expansion for Classifier Explanation of Deep Neural Networks and Ensemble Models This repository is the
x-clip (wip) A concise but complete implementation of CLIP with various experimental improvements from recent papers Install $ pip install x-clip Usag
YOLOv5 π is a family of object detection architectures and models pretrained on the COCO dataset, and represents Ultralytics open-source research int
STYLER: Style Factor Modeling with Rapidity and Robustness via Speech Decomposition for Expressive and Controllable Neural Text to Speech Keon Lee, Ky
AudioCLIP Extending CLIP to Image, Text and Audio This repository contains implementation of the models described in the paper arXiv:2106.13043. This
Colour Detection On Image Colour detection is the process of detecting the name of any color. Simple isnβt it? Well, for humans this is an extremely e
CapsuleVOS This is the code for the ICCV 2019 paper CapsuleVOS: Semi-Supervised Video Object Segmentation Using Capsule Routing. Arxiv Link: https://a
simple, elegant and safe Introduction PassAPI is a password generator in hash format and fully developed in Python, with the aim of teaching how to ha
Linear Variational State Space Filters To set up the environment, use the provided scripts in the docker/ folder to build and run the codebase inside
Pytorch Negative Sampling Loss Negative Sampling Loss implemented in PyTorch. Usage neg_loss = NEG_loss(num_classes, embedding_size) optimizer =
The CW Equation Generator The cweqgen (pronouced like "Queck-Jen") package provi
SIDD benchmark 1 Train python train.py If you want to train your network, just modify the yaml in the options folder. 2 Validation python validation.p
Gated-Attention Architectures for Task-Oriented Language Grounding This is a PyTorch implementation of the AAAI-18 paper: Gated-Attention Architecture
LM-LSTM-CRF Check Our New NER Toolkit π π π Inference: LightNER: inference w. models pre-trained / trained w. any following tools, efficiently. Tra
Compressive Visual Representations This repository contains the source code for our paper, Compressive Visual Representations. We developed informatio
PyElecCL Python program to perform second checks for electron Monte Carlo radiat
Medical-Insurance-Cost-Prediction-using-Machine-learning - Here in this project, I will use regression analysis to predict medical insurance cost for people in different regions, and based on several
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