Dyalog-apl-docset - Dyalog APL Dash Docset Generator

Last update: Jan 10, 2022

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Overview

Dyalog APL Dash Docset Generator

o alasa e kili sona kepeken tenpo lili a

A Dash docset generator for Dyalog APL. Automatically scrapes help.dyalog.com and RIDE help information.

Ensure you have Python 3 and Node.js installed.
Install dependencies with pip3 install -r requirements.txt.
Run generate_docset.py.

Owner

Maciej Goszczycki

Chalmers student, programming language guy, Google intern.

GitHub Repository

Volumetric Correspondence Networks for Optical Flow, NeurIPS 2019.

VCN: Volumetric correspondence networks for optical flow [project website] Requirements python 3.6 pytorch 1.1.0-1.3.0 pytorch correlation module (opt

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Deepface is a lightweight face recognition and facial attribute analysis (age, gender, emotion and race) framework for python

deepface Deepface is a lightweight face recognition and facial attribute analysis (age, gender, emotion and race) framework for python. It is a hybrid

2 Feb 10, 2022

(CVPR2021) Kaleido-BERT: Vision-Language Pre-training on Fashion Domain

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250 Jan 08, 2023

Face Synthetics dataset is a collection of diverse synthetic face images with ground truth labels.

The Face Synthetics dataset Face Synthetics dataset is a collection of diverse synthetic face images with ground truth labels. It was introduced in ou

608 Jan 02, 2023

PyTorch Implementation of ECCV 2020 Spotlight TuiGAN: Learning Versatile Image-to-Image Translation with Two Unpaired Images

TuiGAN-PyTorch Official PyTorch Implementation of "TuiGAN: Learning Versatile Image-to-Image Translation with Two Unpaired Images" (ECCV 2020 Spotligh

181 Dec 09, 2022

Snapchat-filters-app-opencv-python - Here we used opencv and other inbuilt python modules to create filter application like snapchat

Snapchat like filter App using opencv python Backend : opencv and python Library

2 Jul 19, 2022

ImageNet-CoG is a benchmark for concept generalization. It provides a full evaluation framework for pre-trained visual representations which measure how well they generalize to unseen concepts.

The ImageNet-CoG Benchmark Project Website Paper (arXiv) Code repository for the ImageNet-CoG Benchmark introduced in the paper "Concept Generalizatio

23 Oct 09, 2022

Dyalog-apl-docset - Dyalog APL Dash Docset Generator

Related tags

Overview

Dyalog APL Dash Docset Generator

Owner

Maciej Goszczycki

Volumetric Correspondence Networks for Optical Flow, NeurIPS 2019.

Deepface is a lightweight face recognition and facial attribute analysis (age, gender, emotion and race) framework for python

(CVPR2021) Kaleido-BERT: Vision-Language Pre-training on Fashion Domain

Face Synthetics dataset is a collection of diverse synthetic face images with ground truth labels.

PyTorch Implementation of ECCV 2020 Spotlight TuiGAN: Learning Versatile Image-to-Image Translation with Two Unpaired Images

DL & CV-based indicator toolset for the vehicle drivers via live dash-cam footage.

MINERVA: An out-of-the-box GUI tool for offline deep reinforcement learning

Object detection and instance segmentation toolkit based on PaddlePaddle.

Finding an Unsupervised Image Segmenter in each of your Deep Generative Models

Out-of-Domain Human Mesh Reconstruction via Dynamic Bilevel Online Adaptation

Learning to Predict Gradients for Semi-Supervised Continual Learning

Deep Learning Specialization by Andrew Ng, deeplearning.ai.

UnpNet - Rethinking 3-D LiDAR Point Cloud Segmentation(IEEE TNNLS)

BackgroundRemover lets you Remove Background from images and video with a simple command line interface

Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"

The Agriculture Domain of ERPNext comes with features to record crops and land

Robocop is your personal mini voice assistant made using Python.

Simulations for Turring patterns on an apically expanding domain. T

Snapchat-filters-app-opencv-python - Here we used opencv and other inbuilt python modules to create filter application like snapchat

ImageNet-CoG is a benchmark for concept generalization. It provides a full evaluation framework for pre-trained visual representations which measure how well they generalize to unseen concepts.