213 Repositories
Python zero-width-character Libraries
[SIGGRAPH 2022 Journal Track] AvatarCLIP: Zero-Shot Text-Driven Generation and Animation of 3D Avatars
AvatarCLIP: Zero-Shot Text-Driven Generation and Animation of 3D Avatars Fangzhou Hong1* Mingyuan Zhang1* Liang Pan1 Zhongang Cai1,2,3 Lei Yang2
csv2ir is a script to convert ir .csv files to .ir files for the flipper.
csv2ir csv2ir is a script to convert ir .csv files to .ir files for the flipper. For a repo of .ir files, please see https://github.com/logickworkshop
Optical Character Recognition + Instance Segmentation for russian and english languages
Распознавание рукописного текста в школьных тетрадях Соревнование, проводимое в рамках олимпиады НТО, разработанное Сбером. Платформа ODS. Результаты
Optical character recognition for Japanese text, with the main focus being Japanese manga
Manga OCR Optical character recognition for Japanese text, with the main focus being Japanese manga. It uses a custom end-to-end model built with Tran
Language Models Can See: Plugging Visual Controls in Text Generation
Language Models Can See: Plugging Visual Controls in Text Generation Authors: Yixuan Su, Tian Lan, Yahui Liu, Fangyu Liu, Dani Yogatama, Yan Wang, Lin
Free course that takes you from zero to Reinforcement Learning PRO 🦸🏻🦸🏽
The Hands-on Reinforcement Learning course 🚀 From zero to HERO 🦸🏻🦸🏽 Out of intense complexities, intense simplicities emerge. -- Winston Churchi
An ever-growing playground of notebooks showcasing CLIP's impressive zero-shot capabilities.
Playground for CLIP-like models Demo Colab Link GradCAM Visualization Naive Zero-shot Detection Smarter Zero-shot Detection Captcha Solver Changelog 2
CLIPfa: Connecting Farsi Text and Images
CLIPfa: Connecting Farsi Text and Images OpenAI released the paper Learning Transferable Visual Models From Natural Language Supervision in which they
Near Zero-Overhead Python Code Coverage
Slipcover: Near Zero-Overhead Python Code Coverage by Juan Altmayer Pizzorno and Emery Berger at UMass Amherst's PLASMA lab. About Slipcover Slipcover
PromptDet: Expand Your Detector Vocabulary with Uncurated Images
PromptDet: Expand Your Detector Vocabulary with Uncurated Images Paper Website Introduction The goal of this work is to establish a scalable pipeline
Python/Rust implementations and notes from Proofs Arguments and Zero Knowledge
What is this? This is where I'll be collecting resources related to the Study Group on Dr. Justin Thaler's Proofs Arguments And Zero Knowledge Book. T
Learning to compose soft prompts for compositional zero-shot learning.
Compositional Soft Prompting (CSP) Compositional soft prompting (CSP), a parameter-efficient learning technique to improve the zero-shot compositional
Comparison-of-OCR (KerasOCR, PyTesseract,EasyOCR)
Optical Character Recognition OCR (Optical Character Recognition) is a technology that enables the conversion of document types such as scanned paper
This program generates a random 12 digit/character password (upper and lowercase) and stores it in a file along with your username and app/website.
PasswordGeneratorAndVault This program generates a random 12 digit/character password (upper and lowercase) and stores it in a file along with your us
ZeroGen: Efficient Zero-shot Learning via Dataset Generation
ZEROGEN This repository contains the code for our paper “ZeroGen: Efficient Zero
Alpha-Zero - Telegram Group Manager Bot Written In Python Using Pyrogram
✨ Alpha Zero Bot ✨ Telegram Group Manager Bot + Userbot Written In Python Using
Code To Tune or Not To Tune? Zero-shot Models for Legal Case Entailment.
COLIEE 2021 - task 2: Legal Case Entailment This repository contains the code to reproduce NeuralMind's submissions to COLIEE 2021 presented in the pa
The zero player Darwinism simulation game as described by Conway (demonstrates Turing Completeness)
Conway's Game of Life The zero player Darwinism simulation game as described by Conway (demonstrates Turing Completeness). I created this script after
Handwritten Character Recognition using CNN
Handwritten Character Recognition using CNN Problem Definition The main objective of this project is to solve the problem of handwritten character rec
An Optical Character Recognition system using Pytesseract/Extracting data from Blood Pressure Reports.
Optical_Character_Recognition An Optical Character Recognition system using Pytesseract/Extracting data from Blood Pressure Reports. As an IOT/Compute
Zero-Cost Proxies for Lightweight NAS
Zero-Cost-NAS Companion code for the ICLR2021 paper: Zero-Cost Proxies for Lightweight NAS tl;dr A single minibatch of data is used to score neural ne
The source code for Generating Training Data with Language Models: Towards Zero-Shot Language Understanding.
SuperGen The source code for Generating Training Data with Language Models: Towards Zero-Shot Language Understanding. Requirements Before running, you
Steganography is the art of hiding the fact that communication is taking place, by hiding information in other information.
Steganography is the art of hiding the fact that communication is taking place, by hiding information in other information.
Automatically measure the facial Width-To-Height ratio and get facial analysis results provided by Microsoft Azure
fwhr-calc-website This project is to automatically measure the facial Width-To-Height ratio and get facial analysis results provided by Microsoft Azur
Character-Input - Create a program that asks the user to enter their name and their age
Character-Input Create a program that asks the user to enter their name and thei
Optical character recognition for Japanese text, with the main focus being Japanese manga
Manga OCR Optical character recognition for Japanese text, with the main focus being Japanese manga. It uses a custom end-to-end model built with Tran
CAST: Character labeling in Animation using Self-supervision by Tracking
CAST: Character labeling in Animation using Self-supervision by Tracking (Published as a conference paper at EuroGraphics 2022) Note: The CAST paper c
PyTorch implementation of our paper How robust are discriminatively trained zero-shot learning models?
How robust are discriminatively trained zero-shot learning models? This repository contains the PyTorch implementation of our paper How robust are dis
Tackling data scarcity in Speech Translation using zero-shot multilingual Machine Translation techniques
Tackling data scarcity in Speech Translation using zero-shot multilingual Machine Translation techniques This repository is derived from the NMTGMinor
Learning Time-Critical Responses for Interactive Character Control
Learning Time-Critical Responses for Interactive Character Control Abstract This code implements the paper Learning Time-Critical Responses for Intera
This repository contains the code for the python introduction lab
This repository contains the code for the python introduction lab. The purpose is to have a fairly simple python assignment that introduces the basic features and tools of python
Unsupervised MRI Reconstruction via Zero-Shot Learned Adversarial Transformers
Official TensorFlow implementation of the unsupervised reconstruction model using zero-Shot Learned Adversarial TransformERs (SLATER). (https://arxiv.
The purpose is to have a fairly simple python assignment that introduces the basic features and tools of python
This repository contains the code for the python introduction lab. The purpose is to have a fairly simple python assignment that introduces the basic
Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents
Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents [Project Page] [Paper] [Video] Wenlong Huang1, Pieter Abbee
TransZero++: Cross Attribute-guided Transformer for Zero-Shot Learning
TransZero++ This repository contains the testing code for the paper "TransZero++: Cross Attribute-guided Transformer for Zero-Shot Learning" submitted
Wordle helper: help you print posible 5-character words based on you input
Wordle Helper This program help you print posible 5-character words based on you
Perform zero-order Hankel Transform for an 1D array (float or real valued).
perform zero-order Hankel Transform for an 1D array (float or real valued). An discrete form of Parseval theorem is guaranteed. Suit for iterative problems.
[WWW 2022] Zero-Shot Stance Detection via Contrastive Learning
PT-HCL for Zero-Shot Stance Detection The code of this repository is constantly being updated... Please look forward to it! Introduction This reposito
Chess reinforcement learning by AlphaGo Zero methods.
About Chess reinforcement learning by AlphaGo Zero methods. This project is based on these main resources: DeepMind's Oct 19th publication: Mastering
RARA: Zero-shot Sim2Real Visual Navigation with Following Foreground Cues
RARA: Zero-shot Sim2Real Visual Navigation with Following Foreground Cues FGBG (foreground-background) pytorch package for defining and training model
Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 Tensorflow 2.0
NLP-Models-Tensorflow, Gathers machine learning and tensorflow deep learning models for NLP problems, code simplify inside Jupyter Notebooks 100%. Tab
This is the official implementation of Elaborative Rehearsal for Zero-shot Action Recognition (ICCV2021)
Elaborative Rehearsal for Zero-shot Action Recognition This is an official implementation of: Shizhe Chen and Dong Huang, Elaborative Rehearsal for Ze
Train Scene Graph Generation for Visual Genome and GQA in PyTorch = 1.2 with improved zero and few-shot generalization.
Scene Graph Generation Object Detections Ground truth Scene Graph Generated Scene Graph In this visualization, woman sitting on rock is a zero-shot tr
In this project we can see how we can generate automatic music using character RNN.
Automatic Music Genaration Table of Contents Project Description Approach towards the problem Limitations Libraries Used Summary Applications Referenc
To dynamically change the split direction in I3/Sway so as to split new windows automatically based on the width and height of the focused window
To dynamically change the split direction in I3/Sway so as to split new windows automatically based on the width and height of the focused window Insp
RodoSol-ALPR Dataset
RodoSol-ALPR Dataset This dataset, called RodoSol-ALPR dataset, contains 20,000 images captured by static cameras located at pay tolls owned by the Ro
Zsseg.baseline - Zero-Shot Semantic Segmentation
This repo is for our paper A Simple Baseline for Zero-shot Semantic Segmentation
ZUNIT - Toward Zero-Shot Unsupervised Image-to-Image Translation
ZUNIT Dependencies you can install all the dependencies by pip install -r requirements.txt Datasets Download CUB dataset. Unzip the birds.zip at ./da
Character Grounding and Re-Identification in Story of Videos and Text Descriptions
Character in Story Identification Network (CiSIN) This project hosts the code for our paper. Youngjae Yu, Jongseok Kim, Heeseung Yun, Jiwan Chung and
Width-customizer-for-streamlit-apps - Width customizer for Streamlit Apps
🎈 Width customizer for Streamlit Apps As of now, you can only change your Strea
Omdena-abuja-anpd - Automatic Number Plate Detection for the security of lives and properties using Computer Vision.
Omdena-abuja-anpd - Automatic Number Plate Detection for the security of lives and properties using Computer Vision.
Twewy-discord-chatbot - Build a Discord AI Chatbot that Speaks like Your Favorite Character
Build a Discord AI Chatbot that Speaks like Your Favorite Character! This is a Discord AI Chatbot that uses the Microsoft DialoGPT conversational mode
IDCARD-VERIFYING-SYSTEM - The "IDCARD VERIFYING SYSTEM" uses the Google's latest version of Tesseract OCR[Optical Character Recognition]
IDCARD VERIFYING SYSTEM The "IDCARD VERIFYING SYSTEM" uses the Google's latest v
The code of Zero-shot learning for low-light image enhancement based on dual iteration
Zero-shot-dual-iter-LLE The code of Zero-shot learning for low-light image enhancement based on dual iteration. You can get the real night image tests
Pytorch implementation of the paper "COAD: Contrastive Pre-training with Adversarial Fine-tuning for Zero-shot Expert Linking."
Expert-Linking Pytorch implementation of the paper "COAD: Contrastive Pre-training with Adversarial Fine-tuning for Zero-shot Expert Linking." This is
A module to get data about anime characters, news, info, lyrics and more.
Animec A module to get data about anime characters, news, info, lyrics and more. The module scrapes myanimelist to parse requested data. If you wish t
Reproduce results and replicate training fo T0 (Multitask Prompted Training Enables Zero-Shot Task Generalization)
T-Zero This repository serves primarily as codebase and instructions for training, evaluation and inference of T0. T0 is the model developed in Multit
Indonesian Car License Plate Character Recognition using Tensorflow, Keras and OpenCV.
Monopol Indonesian Car License Plate (Indonesia Mobil Nomor Polisi) Character Recognition using Tensorflow, Keras and OpenCV. Background This applicat
Scripts and a shader to get you started on setting up an exported Koikatsu character in Blender.
KK Blender Shader Pack A plugin and a shader to get you started with setting up an exported Koikatsu character in Blender. The plugin is a Blender add
Lightweight, zero-dependency proxy and storage RTSP server
python-rtsp-server Python-rtsp-server is a lightweight, zero-dependency proxy and storage server for several IP-cameras and multiple clients. Features
Segger Embedded Studio project for building & debugging Flipper Zero firmware.
Segger Embedded Studio project for Flipper Zero firmware Установка Добавить данный репозиторий в качестве сабмодуля в корень локальной копии репозитор
All course materials for the Zero to Mastery Machine Learning and Data Science course.
Zero to Mastery Machine Learning Welcome! This repository contains all of the code, notebooks, images and other materials related to the Zero to Maste
TransZero++: Cross Attribute-guided Transformer for Zero-Shot Learning
TransZero++ This repository contains the testing code for the paper "TransZero++: Cross Attribute-guided Transformer for Zero-Shot Learning" submitted
This code provides a PyTorch implementation for OTTER (Optimal Transport distillation for Efficient zero-shot Recognition), as described in the paper.
Data Efficient Language-Supervised Zero-Shot Recognition with Optimal Transport Distillation This repository contains PyTorch evaluation code, trainin
Robust fine-tuning of zero-shot models
Robust fine-tuning of zero-shot models This repository contains code for the paper Robust fine-tuning of zero-shot models by Mitchell Wortsman*, Gabri
This code extracts line width of phonons from specular energy density (SED) calculated with LAMMPS.
This code extracts line width of phonons from specular energy density (SED) calculated with LAMMPS.
A Re-implementation of the paper "A Deep Learning Framework for Character Motion Synthesis and Editing"
What is This This is a simple re-implementation of the paper "A Deep Learning Framework for Character Motion Synthesis and Editing"(1). Only Sections
Official code for "Decoupling Zero-Shot Semantic Segmentation"
Decoupling Zero-Shot Semantic Segmentation This is the official code for the arxiv. ZegFormer is the first framework that decouple the zero-shot seman
An end-to-end library for editing and rendering motion of 3D characters with deep learning [SIGGRAPH 2020]
Deep-motion-editing This library provides fundamental and advanced functions to work with 3D character animation in deep learning with Pytorch. The co
PyTorch implementation for our paper Learning Character-Agnostic Motion for Motion Retargeting in 2D, SIGGRAPH 2019
Learning Character-Agnostic Motion for Motion Retargeting in 2D We provide PyTorch implementation for our paper Learning Character-Agnostic Motion for
Code for paper Multitask-Finetuning of Zero-shot Vision-Language Models
Code for paper Multitask-Finetuning of Zero-shot Vision-Language Models
This repository contains the code for running the character-level Sandwich Transformers from our ACL 2020 paper on Improving Transformer Models by Reordering their Sublayers.
Improving Transformer Models by Reordering their Sublayers This repository contains the code for running the character-level Sandwich Transformers fro
[WACV21] Code for our paper: Samuel, Atzmon and Chechik, "From Generalized zero-shot learning to long-tail with class descriptors"
DRAGON: From Generalized zero-shot learning to long-tail with class descriptors Paper Project Website Video Overview DRAGON learns to correct the bias
Implementation of Research Paper "Learning to Enhance Low-Light Image via Zero-Reference Deep Curve Estimation"
Zero-DCE and Zero-DCE++(Lite architechture for Mobile and edge Devices) Papers Abstract The paper presents a novel method, Zero-Reference Deep Curve E
An open source bike computer based on Raspberry Pi Zero (W, WH) with GPS and ANT+. Including offline map and navigation.
Pi Zero Bikecomputer An open-source bike computer based on Raspberry Pi Zero (W, WH) with GPS and ANT+ https://github.com/hishizuka/pizero_bikecompute
Public repository of the 3DV 2021 paper "Generative Zero-Shot Learning for Semantic Segmentation of 3D Point Clouds"
Generative Zero-Shot Learning for Semantic Segmentation of 3D Point Clouds Björn Michele1), Alexandre Boulch1), Gilles Puy1), Maxime Bucher1) and Rena
A concise but complete implementation of CLIP with various experimental improvements from recent papers
x-clip (wip) A concise but complete implementation of CLIP with various experimental improvements from recent papers Install $ pip install x-clip Usag
A concise but complete implementation of CLIP with various experimental improvements from recent papers
x-clip (wip) A concise but complete implementation of CLIP with various experimental improvements from recent papers Install $ pip install x-clip Usag
ZEBRA: Zero Evidence Biometric Recognition Assessment
ZEBRA: Zero Evidence Biometric Recognition Assessment license: LGPLv3 - please reference our paper version: 2020-06-11 author: Andreas Nautsch (EURECO
Standard mutable string (character array) implementation for Python.
chararray A standard mutable character array implementation for Python.
YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice Conversion for everyone
YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice Conversion for everyone In our recent paper we propose the YourTTS model. YourTTS bri
Become a virtual character with just your webcam!
Become a virtual character with just your webcam!
Tensorflow implementation of Character-Aware Neural Language Models.
Character-Aware Neural Language Models Tensorflow implementation of Character-Aware Neural Language Models. The original code of author can be found h
Codes for the AAAI'22 paper "TransZero: Attribute-guided Transformer for Zero-Shot Learning"
TransZero [arXiv] This repository contains the testing code for the paper "TransZero: Attribute-guided Transformer for Zero-Shot Learning" accepted to
End-2-end speech synthesis with recurrent neural networks
Introduction New: Interactive demo using Google Colaboratory can be found here TTS-Cube is an end-2-end speech synthesis system that provides a full p
Zero-shot Learning by Generating Task-specific Adapters
Code for "Zero-shot Learning by Generating Task-specific Adapters" This is the repository containing code for "Zero-shot Learning by Generating Task-s
Code for the AAAI 2022 paper "Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-Sentence Dependency Graph".
multilingual-mrc-isdg Code for the AAAI 2022 paper "Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-Sentence Dependency Graph". This r
Code for Towards Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games
Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games How to run our algorithm? Create the new environment using: conda
NeurIPS-2021: Neural Auto-Curricula in Two-Player Zero-Sum Games.
NAC Official PyTorch implementation of NAC from the paper: Neural Auto-Curricula in Two-Player Zero-Sum Games. We release code for: Gradient based ora
Source code for ZePHyR: Zero-shot Pose Hypothesis Rating @ ICRA 2021
ZePHyR: Zero-shot Pose Hypothesis Rating ZePHyR is a zero-shot 6D object pose estimation pipeline. The core is a learned scoring function that compare
Pytorch Implementation of Zero-Shot Image-to-Text Generation for Visual-Semantic Arithmetic
Pytorch Implementation of Zero-Shot Image-to-Text Generation for Visual-Semantic Arithmetic [Paper] [Colab is coming soon] Approach Example Usage To r
Pytorch Implementation of Zero-Shot Image-to-Text Generation for Visual-Semantic Arithmetic
Pytorch Implementation of Zero-Shot Image-to-Text Generation for Visual-Semantic Arithmetic [Paper] [Colab is coming soon] Approach Example Usage To r
PyTorch implementation of CDistNet: Perceiving Multi-Domain Character Distance for Robust Text Recognition
PyTorch implementation of CDistNet: Perceiving Multi-Domain Character Distance for Robust Text Recognition The unofficial code of CDistNet. Now, we ha
Rethinking of Pedestrian Attribute Recognition: A Reliable Evaluation under Zero-Shot Pedestrian Identity Setting
Pytorch Pedestrian Attribute Recognition: A strong PyTorch baseline of pedestrian attribute recognition and multi-label classification.
Given an array of integers, calculate the ratios of its elements that are positive, negative, and zero.
Given an array of integers, calculate the ratios of its elements that are positive, negative, and zero. Print the decimal value of each fraction on a new line with places after the decimal.
AWS documentation corpus for zero-shot open-book question answering.
aws-documentation We present the AWS documentation corpus, an open-book QA dataset, which contains 25,175 documents along with 100 matched questions a
Creating multimodal multitask models
Fusion Brain Challenge The English version of the document can be found here. Обновления 01.11 Мы выкладываем пример данных, аналогичных private test
Apply different text recognition services to images of handwritten documents.
Handprint The Handwritten Page Recognition Test is a command-line program that invokes HTR (handwritten text recognition) services on images of docume
IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization
IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization paper Requirements Python = 3.7.10 Pytorch == 1.7
Code for IntraQ, PyTorch implementation of our paper under review
IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization paper Requirements Python = 3.7.10 Pytorch == 1.7