Object Detection Projekt in GKI WS2021/22

Overview

tfObjectDetection

Object Detection Projekt with tensorflow in GKI WS2021/22

  1. Docker Container: docker run -it --name --gpus all -v <path/to/project>:<path/in/container> -p 8888:8888 tensorflow/tensorflow:latest-gpu-jupyter

  2. ImageScraper

  3. ImageLabeler

  4. ImageShuffleSorter

  5. ObjectDetectionTrain

  6. ObjectDetectionTest

Owner
Tim Eggers
Tim Eggers
A library for uncertainty representation and training in neural networks.

Epistemic Neural Networks A library for uncertainty representation and training in neural networks. Introduction Many applications in deep learning re

DeepMind 211 Dec 12, 2022
PyTorch implementation of SimSiam: Exploring Simple Siamese Representation Learning

SimSiam: Exploring Simple Siamese Representation Learning This is a PyTorch implementation of the SimSiam paper: @Article{chen2020simsiam, author =

Facebook Research 834 Dec 30, 2022
FaceQgen: Semi-Supervised Deep Learning for Face Image Quality Assessment

FaceQgen FaceQgen: Semi-Supervised Deep Learning for Face Image Quality Assessment This repository is based on the paper: "FaceQgen: Semi-Supervised D

Javier Hernandez-Ortega 3 Aug 04, 2022
Wandb-predictions - WANDB Predictions With Python

WANDB API CI/CD Below we capture the CI/CD scenarios that we would expect with o

Anish Shah 6 Oct 07, 2022
PyTorch code for ICPR 2020 paper Future Urban Scene Generation Through Vehicle Synthesis

Future urban scene generation through vehicle synthesis This repository contains Pytorch code for the ICPR2020 paper "Future Urban Scene Generation Th

Alessandro Simoni 4 Oct 11, 2021
Official Code for AdvRush: Searching for Adversarially Robust Neural Architectures (ICCV '21)

AdvRush Official Code for AdvRush: Searching for Adversarially Robust Neural Architectures (ICCV '21) Environmental Set-up Python == 3.6.12, PyTorch =

11 Dec 10, 2022
Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"

Infinitely Deep Bayesian Neural Networks with SDEs This library contains JAX and Pytorch implementations of neural ODEs and Bayesian layers for stocha

Winnie Xu 95 Nov 26, 2021
MMGeneration is a powerful toolkit for generative models, based on PyTorch and MMCV.

Documentation: https://mmgeneration.readthedocs.io/ Introduction English | 简体中文 MMGeneration is a powerful toolkit for generative models, especially f

OpenMMLab 1.3k Dec 29, 2022
COVINS -- A Framework for Collaborative Visual-Inertial SLAM and Multi-Agent 3D Mapping

COVINS -- A Framework for Collaborative Visual-Inertial SLAM and Multi-Agent 3D Mapping Version 1.0 COVINS is an accurate, scalable, and versatile vis

ETHZ V4RL 183 Dec 27, 2022
Deep Ensemble Learning with Jet-Like architecture

Ransomware analysis using DEL with jet-like architecture comprising two CNN wings, a sparse AE tail, a non-linear PCA to produce a diverse feature space, and an MLP nose

Ahsen Nazir 2 Feb 06, 2022
Supercharging Imbalanced Data Learning WithCausal Representation Transfer

ECRT: Energy-based Causal Representation Transfer Code for Supercharging Imbalanced Data Learning With Energy-basedContrastive Representation Transfer

Zidi Xiu 11 May 02, 2022
Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation, available for both PyTorch and Tensorflow.

Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation, available for both PyTorch and Tensorflow.

730 Jan 09, 2023
PECOS - Prediction for Enormous and Correlated Spaces

PECOS - Predictions for Enormous and Correlated Output Spaces PECOS is a versatile and modular machine learning (ML) framework for fast learning and i

Amazon 387 Jan 04, 2023
FastyAPI is a Stack boilerplate optimised for heavy loads.

FastyAPI A FastAPI based Stack boilerplate for heavy loads. Explore the docs » View Demo · Report Bug · Request Feature Table of Contents About The Pr

Ali Chaayb 47 Dec 27, 2022
Dense Prediction Transformers

Vision Transformers for Dense Prediction This repository contains code and models for our paper: Vision Transformers for Dense Prediction René Ranftl,

Intel ISL (Intel Intelligent Systems Lab) 1.3k Dec 28, 2022
GEA - Code for Guided Evolution for Neural Architecture Search

Efficient Guided Evolution for Neural Architecture Search Usage Create a conda e

6 Jan 03, 2023
Franka Emika Panda manipulator kinematics&dynamics simulation

pybullet_sim_panda Pybullet simulation environment for Franka Emika Panda Dependency pybullet, numpy, spatial_math_mini Simple example (please check s

0 Jan 20, 2022
Wav2Vec for speech recognition, classification, and audio classification

Soxan در زبان پارسی به نام سخن This repository consists of models, scripts, and notebooks that help you to use all the benefits of Wav2Vec 2.0 in your

Mehrdad Farahani 140 Dec 15, 2022
Implementation of TimeSformer, a pure attention-based solution for video classification

TimeSformer - Pytorch Implementation of TimeSformer, a pure and simple attention-based solution for reaching SOTA on video classification.

Phil Wang 602 Jan 03, 2023
Continuous Diffusion Graph Neural Network

We present Graph Neural Diffusion (GRAND) that approaches deep learning on graphs as a continuous diffusion process and treats Graph Neural Networks (GNNs) as discretisations of an underlying PDE.

Twitter Research 227 Jan 05, 2023