1941 Repositories
Python video-text-retrieval Libraries
Rethinking Space-Time Networks with Improved Memory Coverage for Efficient Video Object Segmentation
STCN Rethinking Space-Time Networks with Improved Memory Coverage for Efficient Video Object Segmentation Ho Kei Cheng, Yu-Wing Tai, Chi-Keung Tang [a
VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech
VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech Jaehyeon Kim, Jungil Kong, and Juhee Son In our rece
Vehicle Identification Speed Detection (VISD) extracts vehicle information like License Plate number, Manufacturer and colour from a video and provides this data in the form of a CSV file
Vehicle Identification Speed Detection (VISD) extracts vehicle information like License Plate number, Manufacturer and colour from a video and provides this data in the form of a CSV file. VISD can also perform vehicle speed detection on a video. All these features of VSID are provided to the user using a Web Application which is created using Flask
Code and data of the ACL 2021 paper: Few-Shot Text Ranking with Meta Adapted Synthetic Weak Supervision
MetaAdaptRank This repository provides the implementation of meta-learning to reweight synthetic weak supervision data described in the paper Few-Shot
This is a GUI based text and image messenger. Other functionalities will be added soon.
Pigeon-Messenger (Requires Python and Kivy) Pigeon is a GUI based text and image messenger using Kivy and Python. Currently the layout is built. Funct
Open Crawl Vietnamese Text
Open Crawl Vietnamese Text This repo contains crawled Vietnamese text from multiple sources. This list of a topic-centric public data sources in high
PyTorch Implementation of Meta-StyleSpeech : Multi-Speaker Adaptive Text-to-Speech Generation
StyleSpeech - PyTorch Implementation PyTorch Implementation of Meta-StyleSpeech : Multi-Speaker Adaptive Text-to-Speech Generation. Status (2021.06.09
Handwritten Text Recognition (HTR) system implemented with TensorFlow (TF) and trained on the IAM off-line HTR dataset. This Neural Network (NN) model recognizes the text contained in the images of segmented words.
Handwritten-Text-Recognition Handwritten Text Recognition (HTR) system implemented with TensorFlow (TF) and trained on the IAM off-line HTR dataset. T
EMNLP 2020 - Summarizing Text on Any Aspects
Summarizing Text on Any Aspects This repo contains preliminary code of the following paper: Summarizing Text on Any Aspects: A Knowledge-Informed Weak
Textual is a TUI (Text User Interface) framework for Python using Rich as a renderer.
Textual is a TUI (Text User Interface) framework for Python using Rich as a renderer. The end goal is to be able to rapidly create rich termin
Text to ASCII and ASCII to text
Text2ASCII Description This python script (converter.py) contains two functions: encode() is used to return a list of Integer, one item per character
A Python app which can convert normal text to Handwritten text.
Text to HandWritten Text ✍️ Converter Watch Tutorial for this project Usage:- Clone my repository. Open CMD in working directory. Run following comman
Pytorch Implementation of DiffSinger: Diffusion Acoustic Model for Singing Voice Synthesis (TTS Extension)
DiffSinger - PyTorch Implementation PyTorch implementation of DiffSinger: Diffusion Acoustic Model for Singing Voice Synthesis (TTS Extension). Status
A framework for detecting, highlighting and correcting grammatical errors on natural language text.
Gramformer Human and machine generated text often suffer from grammatical and/or typographical errors. It can be spelling, punctuation, grammatical or
Fine-Tune EleutherAI GPT-Neo to Generate Netflix Movie Descriptions in Only 47 Lines of Code Using Hugginface And DeepSpeed
GPT-Neo-2.7B Fine-Tuning Example Using HuggingFace & DeepSpeed Installation cd venv/bin ./pip install -r ../../requirements.txt ./pip install deepspe
Deep Text Search is an AI-powered multilingual text search and recommendation engine with state-of-the-art transformer-based multilingual text embedding (50+ languages).
Deep Text Search - AI Based Text Search & Recommendation System Deep Text Search is an AI-powered multilingual text search and recommendation engine w
Rich.tui is a TUI (Text User Interface) framework for Python using Rich as a renderer.
rich.tui Rich.tui is a TUI (Text User Interface) framework for Python using Rich as a renderer. The end goal is to be able to rapidly create rich term
Avatarify Python - Avatars for Zoom, Skype and other video-conferencing apps.
Avatarify Python - Avatars for Zoom, Skype and other video-conferencing apps.
Self-Learned Video Rain Streak Removal: When Cyclic Consistency Meets Temporal Correspondence
In this paper, we address the problem of rain streaks removal in video by developing a self-learned rain streak removal method, which does not require any clean groundtruth images in the training process.
NExT-QA: Next Phase of Question-Answering to Explaining Temporal Actions (CVPR2021)
NExT-QA We reproduce some SOTA VideoQA methods to provide benchmark results for our NExT-QA dataset accepted to CVPR2021 (with 1 'Strong Accept' and 2
This project provides an unsupervised framework for mining and tagging quality phrases on text corpora with pretrained language models (KDD'21).
UCPhrase: Unsupervised Context-aware Quality Phrase Tagging To appear on KDD'21...[pdf] This project provides an unsupervised framework for mining and
A curated list of awesome resources related to Semantic Search🔎 and Semantic Similarity tasks.
A curated list of awesome resources related to Semantic Search🔎 and Semantic Similarity tasks.
A PyTorch implementation of paper "Learning Shared Semantic Space for Speech-to-Text Translation", ACL (Findings) 2021
Chimera: Learning Shared Semantic Space for Speech-to-Text Translation This is a Pytorch implementation for the "Chimera" paper Learning Shared Semant
Simple, hackable offline speech to text - using the VOSK-API.
Nerd Dictation Offline Speech to Text for Desktop Linux. This is a utility that provides simple access speech to text for using in Linux without being
Github project for Attention-guided Temporal Coherent Video Object Matting.
Attention-guided Temporal Coherent Video Object Matting This is the Github project for our paper Attention-guided Temporal Coherent Video Object Matti
Official implementation of the network presented in the paper "M4Depth: A motion-based approach for monocular depth estimation on video sequences"
M4Depth This is the reference TensorFlow implementation for training and testing depth estimation models using the method described in M4Depth: A moti
Repo for the Video Person Clustering dataset, and code for the associated paper
Video Person Clustering Repo for the Video Person Clustering dataset, and code for the associated paper. This reporsitory contains the Video Person Cl
Source code for "MusCaps: Generating Captions for Music Audio" (IJCNN 2021)
MusCaps: Generating Captions for Music Audio Ilaria Manco1 2, Emmanouil Benetos1, Elio Quinton2, Gyorgy Fazekas1 1 Queen Mary University of London, 2
SiamMOT is a region-based Siamese Multi-Object Tracking network that detects and associates object instances simultaneously.
SiamMOT: Siamese Multi-Object Tracking
Music and video downloader, Made with love by Bryan Herrera
Python-Mp3Mp4-Downloader Music and video downloader, Made with love by Bryan Herrera Requirements CHOCOLATELY windows command If your system does not
VMD Audio/Text control with natural language
This repository is a proof of principle for performing Molecular Dynamics analysis, in this case with the program VMD, via natural language commands.
Implementation of "Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification"
hypergraph_reid Implementation of "Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification" If you find this help your research,
PyTorch code of my ICDAR 2021 paper Vision Transformer for Fast and Efficient Scene Text Recognition (ViTSTR)
Vision Transformer for Fast and Efficient Scene Text Recognition (ICDAR 2021) ViTSTR is a simple single-stage model that uses a pre-trained Vision Tra
The implemention of Video Depth Estimation by Fusing Flow-to-Depth Proposals
Flow-to-depth (FDNet) video-depth-estimation This is the implementation of paper Video Depth Estimation by Fusing Flow-to-Depth Proposals Jiaxin Xie,
A Joint Video and Image Encoder for End-to-End Retrieval
Frozen️ in Time ❄️ ️️️️ ⏳ A Joint Video and Image Encoder for End-to-End Retrieval (arXiv) Repository to contain the code, models, data for end-to-end
Code for ECCV 2020 paper "Contacts and Human Dynamics from Monocular Video".
Contact and Human Dynamics from Monocular Video This is the official implementation for the ECCV 2020 spotlight paper by Davis Rempe, Leonidas J. Guib
Pytorch Implementation of Google's Parallel Tacotron 2: A Non-Autoregressive Neural TTS Model with Differentiable Duration Modeling
Parallel Tacotron2 Pytorch Implementation of Google's Parallel Tacotron 2: A Non-Autoregressive Neural TTS Model with Differentiable Duration Modeling
Inference code for "StylePeople: A Generative Model of Fullbody Human Avatars" paper. This code is for the part of the paper describing video-based avatars.
NeuralTextures This is repository with inference code for paper "StylePeople: A Generative Model of Fullbody Human Avatars" (CVPR21). This code is for
Text to Image Generation with Semantic-Spatial Aware GAN
text2image This repository includes the implementation for Text to Image Generation with Semantic-Spatial Aware GAN This repo is not completely. Netwo
A Telegram bot to convert videos into x265/x264 format via ffmpeg.
Video Encoder Bot A Telegram bot to convert videos into x265/x264 format via ffmpeg. Configuration Add values in environment variables or add them in
A collection of Korean Text Datasets ready to use using Tensorflow-Datasets.
tfds-korean A collection of Korean Text Datasets ready to use using Tensorflow-Datasets. TensorFlow-Datasets를 이용한 한국어/한글 데이터셋 모음입니다. Dataset Catalog |
Deep learning (neural network) based remote photoplethysmography: how to extract pulse signal from video using deep learning tools
Deep-rPPG: Camera-based pulse estimation using deep learning tools Deep learning (neural network) based remote photoplethysmography: how to extract pu
Implementation of Stochastic Image-to-Video Synthesis using cINNs.
Stochastic Image-to-Video Synthesis using cINNs Official PyTorch implementation of Stochastic Image-to-Video Synthesis using cINNs accepted to CVPR202
Code from the paper "High-Performance Brain-to-Text Communication via Handwriting"
High-Performance Brain-to-Text Communication via Handwriting Overview This repo is associated with this manuscript, preprint and dataset. The code can
Resources for the "Evaluating the Factual Consistency of Abstractive Text Summarization" paper
Evaluating the Factual Consistency of Abstractive Text Summarization Authors: Wojciech Kryściński, Bryan McCann, Caiming Xiong, and Richard Socher Int
Unofficial implementation of Google's FNet: Mixing Tokens with Fourier Transforms
FNet: Mixing Tokens with Fourier Transforms Pytorch implementation of Fnet : Mixing Tokens with Fourier Transforms. Citation: @misc{leethorp2021fnet,
Text to speech is a process to convert any text into voice. Text to speech project takes words on digital devices and convert them into audio. Here I have used Google-text-to-speech library popularly known as gTTS library to convert text file to .mp3 file. Hope you like my project!
Text to speech (using Python) Text to speech is a process to convert any text into voice. Text to speech project takes words on digital devices and co
A framework for cleaning Chinese dialog data
A framework for cleaning Chinese dialog data
Code from the paper "High-Performance Brain-to-Text Communication via Handwriting"
Code from the paper "High-Performance Brain-to-Text Communication via Handwriting"
Code for paper 'Audio-Driven Emotional Video Portraits'.
Audio-Driven Emotional Video Portraits [CVPR2021] Xinya Ji, Zhou Hang, Kaisiyuan Wang, Wayne Wu, Chen Change Loy, Xun Cao, Feng Xu [Project] [Paper] G
A fast Text-to-Speech (TTS) model. Work well for English, Mandarin/Chinese, Japanese, Korean, Russian and Tibetan (so far). 快速语音合成模型,适用于英语、普通话/中文、日语、韩语、俄语和藏语(当前已测试)。
简体中文 | English 并行语音合成 [TOC] 新进展 2021/04/20 合并 wavegan 分支到 main 主分支,删除 wavegan 分支! 2021/04/13 创建 encoder 分支用于开发语音风格迁移模块! 2021/04/13 softdtw 分支 支持使用 Sof
MILES is a multilingual text simplifier inspired by LSBert - A BERT-based lexical simplification approach proposed in 2018. Unlike LSBert, MILES uses the bert-base-multilingual-uncased model, as well as simple language-agnostic approaches to complex word identification (CWI) and candidate ranking.
MILES Multilingual Lexical Simplifier Explore the docs » Read LSBert Paper · Report Bug · Request Feature About The Project MILES is a multilingual te
QueryInst: Parallelly Supervised Mask Query for Instance Segmentation
QueryInst is a simple and effective query based instance segmentation method driven by parallel supervision on dynamic mask heads, which outperforms previous arts in terms of both accuracy and speed.
Code for "ShineOn: Illuminating Design Choices for Practical Video-based Virtual Clothing Try-on", accepted at WACV 2021 Generation of Human Behavior Workshop.
ShineOn: Illuminating Design Choices for Practical Video-based Virtual Clothing Try-on [ Paper ] [ Project Page ] This repository contains the code fo
[NeurIPS 2020] Blind Video Temporal Consistency via Deep Video Prior
pytorch-deep-video-prior (DVP) Official PyTorch implementation for NeurIPS 2020 paper: Blind Video Temporal Consistency via Deep Video Prior TensorFlo
Word2Wave: a framework for generating short audio samples from a text prompt using WaveGAN and COALA.
Word2Wave is a simple method for text-controlled GAN audio generation. You can either follow the setup instructions below and use the source code and CLI provided in this repo or you can have a play around in the Colab notebook provided. Note that, in both cases, you will need to train a WaveGAN model first
Awesome Video Datasets
Awesome Video Datasets
Euporie is a text-based user interface for running and editing Jupyter notebooks
Euporie is a text-based user interface for running and editing Jupyter notebooks
Integrating the Best of TF into PyTorch, for Machine Learning, Natural Language Processing, and Text Generation. This is part of the CASL project: http://casl-project.ai/
Texar-PyTorch is a toolkit aiming to support a broad set of machine learning, especially natural language processing and text generation tasks. Texar
Pytorch implementation of Tacotron
Tacotron-pytorch A pytorch implementation of Tacotron: A Fully End-to-End Text-To-Speech Synthesis Model. Requirements Install python 3 Install pytorc
A PyTorch Implementation of End-to-End Models for Speech-to-Text
speech Speech is an open-source package to build end-to-end models for automatic speech recognition. Sequence-to-sequence models with attention, Conne
A simple command line tool for text to image generation, using OpenAI's CLIP and a BigGAN.
Ryan Murdock has done it again, combining OpenAI's CLIP and the generator from a BigGAN! This repository wraps up his work so it is easily accessible to anyone who owns a GPU.
An easier way to build neural search on the cloud
Jina is geared towards building search systems for any kind of data, including text, images, audio, video and many more. With the modular design & multi-layer abstraction, you can leverage the efficient patterns to build the system by parts, or chaining them into a Flow for an end-to-end experience.
A Distributional Approach To Controlled Text Generation
A Distributional Approach To Controlled Text Generation This is the repository code for the ICLR 2021 paper "A Distributional Approach to Controlled T
AdaSpeech 2: Adaptive Text to Speech with Untranscribed Data
AdaSpeech 2: Adaptive Text to Speech with Untranscribed Data [WIP] Unofficial Pytorch implementation of AdaSpeech 2. Requirements : All code written i
Text Generation by Learning from Demonstrations
Text Generation by Learning from Demonstrations The README was last updated on March 7, 2021. The repo is based on fairseq (v0.9.?). Paper arXiv Prere
[EMNLP 2020] Keep CALM and Explore: Language Models for Action Generation in Text-based Games
Contextual Action Language Model (CALM) and the ClubFloyd Dataset Code and data for paper Keep CALM and Explore: Language Models for Action Generation
A simple image/video to Desmos graph converter run locally
Desmos Bezier Renderer A simple image/video to Desmos graph converter run locally Sample Result Setup Install dependencies apt update apt install git
Joji convert a text to corresponding emoji if emoji is available
Joji Joji convert a text to corresponding emoji if emoji is available How it Works ? 1. There is a json file with emoji names as keys and correspondin
All in one Search Engine Scrapper for used by API or Python Module. It's Free!
All in one Search Engine Scrapper for used by API or Python Module. How to use: Video Documentation Senginta is All in one Search Engine Scrapper. Wit
Pytorch implementation of CoCon: A Self-Supervised Approach for Controlled Text Generation
COCON_ICLR2021 This is our Pytorch implementation of COCON. CoCon: A Self-Supervised Approach for Controlled Text Generation (ICLR 2021) Alvin Chan, Y
Implementation of "Efficient Regional Memory Network for Video Object Segmentation" (Xie et al., CVPR 2021).
RMNet This repository contains the source code for the paper Efficient Regional Memory Network for Video Object Segmentation. Cite this work @inprocee
[CVPR 2021] MiVOS - Mask Propagation module. Reproduced STM (and better) with training code :star2:. Semi-supervised video object segmentation evaluation.
MiVOS (CVPR 2021) - Mask Propagation Ho Kei Cheng, Yu-Wing Tai, Chi-Keung Tang [arXiv] [Paper PDF] [Project Page] [Papers with Code] This repo impleme
TorchFlare is a simple, beginner-friendly, and easy-to-use PyTorch Framework train your models effortlessly.
TorchFlare TorchFlare is a simple, beginner-friendly and an easy-to-use PyTorch Framework train your models without much effort. It provides an almost
A PyTorch Implementation of the paper - Choi, Woosung, et al. "Investigating u-nets with various intermediate blocks for spectrogram-based singing voice separation." 21th International Society for Music Information Retrieval Conference, ISMIR. 2020.
Investigating U-NETS With Various Intermediate Blocks For Spectrogram-based Singing Voice Separation A Pytorch Implementation of the paper "Investigat
Official Pytorch implementation of "Beyond Static Features for Temporally Consistent 3D Human Pose and Shape from a Video", CVPR 2021
TCMR: Beyond Static Features for Temporally Consistent 3D Human Pose and Shape from a Video Qualtitative result Paper teaser video Introduction This r
The code of “Similarity Reasoning and Filtration for Image-Text Matching” [AAAI2021]
SGRAF PyTorch implementation for AAAI2021 paper of “Similarity Reasoning and Filtration for Image-Text Matching”. It is built on top of the SCAN and C
Semi-supervised Video Deraining with Dynamical Rain Generator (CVPR, 2021, Pytorch)
S2VD Semi-supervised Video Deraining with Dynamical Rain Generator (CVPR, 2021) Requirements and Dependencies Ubuntu 16.04, cuda 10.0 Python 3.6.10, P
🏆 The 1st Place Submission to AICity Challenge 2021 Natural Language-Based Vehicle Retrieval Track (Alibaba-UTS submission)
🏆 The 1st Place Submission to AICity Challenge 2021 Natural Language-Based Vehicle Retrieval Track (Alibaba-UTS submission)
NLPretext packages in a unique library all the text preprocessing functions you need to ease your NLP project.
NLPretext packages in a unique library all the text preprocessing functions you need to ease your NLP project.
This is a simple collection of instructions and scripts to accompany the computerphile video about mininet and openflow.
How to get going. This project should work on Linux or MacOS. I used Ubuntu 20.04 and provide some notes here. Note, this is certainly not intended as
🏆 The 1st Place Submission to AICity Challenge 2021 Natural Language-Based Vehicle Retrieval Track (Alibaba-UTS submission)
AI City 2021: Connecting Language and Vision for Natural Language-Based Vehicle Retrieval 🏆 The 1st Place Submission to AICity Challenge 2021 Natural
An official implementation for "CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval"
The implementation of paper CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval. CLIP4Clip is a video-text retrieval model based
[TIP2020] Adaptive Graph Representation Learning for Video Person Re-identification
Introduction This is the PyTorch implementation for Adaptive Graph Representation Learning for Video Person Re-identification. Get started git clone h
CorNet Correlation Networks for Extreme Multi-label Text Classification
CorNet Correlation Networks for Extreme Multi-label Text Classification Prerequisites python==3.6.3 pytorch==1.2.0 torchgpipe==0.0.5 click==7.0 ruamel
The official pytorch implemention of the CVPR paper "Temporal Modulation Network for Controllable Space-Time Video Super-Resolution".
This is the official PyTorch implementation of TMNet in the CVPR 2021 paper "Temporal Modulation Network for Controllable Space-Time VideoSuper-Resolu
Code for the paper "Improving Vision-and-Language Navigation with Image-Text Pairs from the Web" (ECCV 2020)
Improving Vision-and-Language Navigation with Image-Text Pairs from the Web Arjun Majumdar, Ayush Shrivastava, Stefan Lee, Peter Anderson, Devi Parikh
Reimplementation of the paper `Human Attention Maps for Text Classification: Do Humans and Neural Networks Focus on the Same Words? (ACL2020)`
Human Attention for Text Classification Re-implementation of the paper Human Attention Maps for Text Classification: Do Humans and Neural Networks Foc
Code for "Learning the Best Pooling Strategy for Visual Semantic Embedding", CVPR 2021
Learning the Best Pooling Strategy for Visual Semantic Embedding Official PyTorch implementation of the paper Learning the Best Pooling Strategy for V
Training code of Spatial Time Memory Network. Semi-supervised video object segmentation.
Training-code-of-STM This repository fully reproduces Space-Time Memory Networks Performance on Davis17 val set&Weights backbone training stage traini
Activity image-based video retrieval
Cross-modal-retrieval Our approach is focus on Activity Image-to-Video Retrieval (AIVR) task. The compared methods are state-of-the-art single modalit
Syntax-Aware Action Targeting for Video Captioning
Syntax-Aware Action Targeting for Video Captioning Code for SAAT from "Syntax-Aware Action Targeting for Video Captioning" (Accepted to CVPR 2020). Th
TalkNet 2: Non-Autoregressive Depth-Wise Separable Convolutional Model for Speech Synthesis with Explicit Pitch and Duration Prediction.
TalkNet 2 [WIP] TalkNet 2: Non-Autoregressive Depth-Wise Separable Convolutional Model for Speech Synthesis with Explicit Pitch and Duration Predictio
TSP: Temporally-Sensitive Pretraining of Video Encoders for Localization Tasks
TSP: Temporally-Sensitive Pretraining of Video Encoders for Localization Tasks [Paper] [Project Website] This repository holds the source code, pretra
VideoGPT: Video Generation using VQ-VAE and Transformers
VideoGPT: Video Generation using VQ-VAE and Transformers [Paper][Website][Colab][Gradio Demo] We present VideoGPT: a conceptually simple architecture
Scene Text Retrieval via Joint Text Detection and Similarity Learning
This is the code of "Scene Text Retrieval via Joint Text Detection and Similarity Learning". For more details, please refer to our CVPR2021 paper.
It is a simple python package to play videos in the terminal using characters as pixels
It is a simple python package to play videos in the terminal using characters as pixels
Weakly supervised medical named entity classification
Trove Trove is a research framework for building weakly supervised (bio)medical named entity recognition (NER) and other entity attribute classifiers
OpenMMLab Text Detection, Recognition and Understanding Toolbox
Introduction English | 简体中文 MMOCR is an open-source toolbox based on PyTorch and mmdetection for text detection, text recognition, and the correspondi
This repository allows you to anonymize sensitive information in images/videos. The solution is fully compatible with the DL-based training/inference solutions that we already published/will publish for Object Detection and Semantic Segmentation.
BMW-Anonymization-Api Data privacy and individuals’ anonymity are and always have been a major concern for data-driven companies. Therefore, we design