An self sufficient AI that crawls the web to learn how to generate art from keywords

Owner

Tatz

Just a programmer / modder who does random things now and then.

Implementation of ICCV21 paper: PnP-DETR: Towards Efficient Visual Analysis with Transformers

Implementation of ICCV 2021 paper: PnP-DETR: Towards Efficient Visual Analysis with Transformers arxiv This repository is based on detr Recently, DETR

113 Dec 27, 2022

A simple baseline for 3d human pose estimation in tensorflow. Presented at ICCV 17.

3d-pose-baseline This is the code for the paper Julieta Martinez, Rayat Hossain, Javier Romero, James J. Little. A simple yet effective baseline for 3

1.3k Jan 03, 2023

I explore rock vs. mine prediction using a SONAR dataset

I explore rock vs. mine prediction using a SONAR dataset. Using a Logistic Regression Model for my prediction algorithm, I intend on predicting what an object is based on supervised learning.

1 Jan 11, 2022

This repository contains the accompanying code for Deep Virtual Markers for Articulated 3D Shapes, ICCV'21

Deep Virtual Markers This repository contains the accompanying code for Deep Virtual Markers for Articulated 3D Shapes, ICCV'21 Getting Started Get sa

45 Oct 07, 2022

Oriented Object Detection: Oriented RepPoints + Swin Transformer/ReResNet

Oriented RepPoints for Aerial Object Detection The code for the implementation of “Oriented RepPoints + Swin Transformer/ReResNet”. Introduction Based

96 Dec 13, 2022

Yolov3 pytorch implementation

YOLOV3 Pytorch实现在bubbliiing大佬代码的基础上进行了修改，添加了部分注释。预训练模型预训练模型来源于bubbliiing。链接：https://pan.baidu.com/s/1ncREw6Na9ycZptdxiVMApw 提取码：appk 训练自己的数据集按照VO

4 Aug 27, 2022

An Artificial Intelligence trying to drive a car by itself on a user created map

17 Jan 13, 2022

nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that were used to develop and evaluate the performance of the proposed method.

What is nnDetection? Simultaneous localisation and categorization of objects in medical images, also referred to as medical object detection, is of hi

365 Jan 09, 2023

Python scripts for performing road segemtnation and car detection using the HybridNets multitask model in ONNX.

ONNX-HybridNets-Multitask-Road-Detection Python scripts for performing road segemtnation and car detection using the HybridNets multitask model in ONN

45 Jan 01, 2023

Lunar is a neural network aimbot that uses real-time object detection accelerated with CUDA on Nvidia GPUs.

Lunar Lunar is a neural network aimbot that uses real-time object detection accelerated with CUDA on Nvidia GPUs. About Lunar can be modified to work

276 Jan 07, 2023

This project helps to colorize grayscale images using multiple exemplars.

Multiple Exemplar-based Deep Colorization (Pytorch Implementation) Pretrained Model [Jitendra Chautharia](IIT Jodhpur)1,3, Prerequisites Python 3.6+ N

3 Aug 05, 2022

Stream images from a connected camera over MQTT, view using Streamlit, record to file and sqlite

mqtt-camera-streamer Summary: Publish frames from a connected camera or MJPEG/RTSP stream to an MQTT topic, and view the feed in a browser on another

183 Dec 16, 2022

An self sufficient AI that crawls the web to learn how to generate art from keywords

Roxx-IO - The Smart Artist AI! TO DO / IDEAS Implement Web-Scraping Functionality Figure out a less annoying (and an off button for it) text to speech

5 Mar 21, 2022

A PyTorch implementation: "LASAFT-Net-v2: Listen, Attend and Separate by Attentively aggregating Frequency Transformation"

LASAFT-Net-v2 Listen, Attend and Separate by Attentively aggregating Frequency Transformation Woosung Choi, Yeong-Seok Jeong, Jinsung Kim, Jaehwa Chun

29 Jun 04, 2022

Using Machine Learning to Test Causal Hypotheses in Conjoint Analysis

Readme File for "Using Machine Learning to Test Causal Hypotheses in Conjoint Analysis" by Ham, Imai, and Janson. (2022) All scripts were written and

0 Jan 27, 2022

nnFormer: Interleaved Transformer for Volumetric Segmentation Code for paper "nnFormer: Interleaved Transformer for Volumetric Segmentation "

nnFormer: Interleaved Transformer for Volumetric Segmentation Code for paper "nnFormer: Interleaved Transformer for Volumetric Segmentation ". Please

610 Dec 28, 2022

An self sufficient AI that crawls the web to learn how to generate art from keywords

Related tags

Overview

TO DO / IDEAS

Acknowledgements

Owner

Tatz

Implementation of ICCV21 paper: PnP-DETR: Towards Efficient Visual Analysis with Transformers

A simple baseline for 3d human pose estimation in tensorflow. Presented at ICCV 17.

I explore rock vs. mine prediction using a SONAR dataset

This repository contains the accompanying code for Deep Virtual Markers for Articulated 3D Shapes, ICCV'21

Oriented Object Detection: Oriented RepPoints + Swin Transformer/ReResNet

Yolov3 pytorch implementation

An Artificial Intelligence trying to drive a car by itself on a user created map

nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that were used to develop and evaluate the performance of the proposed method.

Python scripts for performing road segemtnation and car detection using the HybridNets multitask model in ONNX.

Lunar is a neural network aimbot that uses real-time object detection accelerated with CUDA on Nvidia GPUs.

This project helps to colorize grayscale images using multiple exemplars.

Stream images from a connected camera over MQTT, view using Streamlit, record to file and sqlite

An self sufficient AI that crawls the web to learn how to generate art from keywords

A PyTorch implementation: "LASAFT-Net-v2: Listen, Attend and Separate by Attentively aggregating Frequency Transformation"

Using Machine Learning to Test Causal Hypotheses in Conjoint Analysis

nnFormer: Interleaved Transformer for Volumetric Segmentation Code for paper "nnFormer: Interleaved Transformer for Volumetric Segmentation "

A comprehensive list of published machine learning applications to cosmology

A really easy-to-use and powerful sudoku solver.

GenGNN: A Generic FPGA Framework for Graph Neural Network Acceleration

TensorFlow implementation of "TokenLearner: What Can 8 Learned Tokens Do for Images and Videos?"