189 Open source projects that are alternatives of or similar to Virtex

A PyTorch implementation of the paper Show, Attend and Tell: Neural Image Caption Generation with Visual Attention

Easily train or fine-tune SOTA computer vision models with one open source training library

My solutions for Assignments of CS231n: Convolutional Neural Networks for Visual Recognition

A curated list of Multimodal Captioning related research(including image captioning, video captioning, and text captioning)

A length-controllable and non-autoregressive image captioning model.

HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision

Yet another PyTorch implementation of Tacotron 2 with reduction factor and faster training speed.

SQuAD Question Answering Using BERT, PyTorch

An open source implementation of CLIP.

Using LSTM or Transformer to solve Image Captioning in Pytorch

EntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation

Meta-repository of screening mammography classifiers

A pytorch implemention of "StyleNet: Generating Attractive Visual Captions with Styles"

Tensorflow2.3的文本分类项目，支持各种分类模型，支持相关tricks。

InceptionV3, InceptionV4, Inception-Resnet pretrained models for Torch7 and PyTorch

Pytorch-NLU，一个中文文本分类、序列标注工具包，支持中文长文本、短文本的多类、多标签分类任务，支持中文命名实体识别、词性标注、分词等序列标注任务。 Ptorch NLU, a Chinese text classification and sequence annotation toolkit, supports multi class and multi label classification tasks of Chinese long text and short text, and supports sequence annotation tasks such as Chinese named entity recognition, part of speech ta…

PyTorch implementation of "Pyramid Scene Parsing Network".

Twitter bot for generating photo descriptions (alt text)

An extension of Open3D to address 3D Machine Learning tasks

The objective is to process by generating textual description from an image – based on the objects and actions in the image. Using generative models so that it creates novel sentences. Pipeline type models uses two separate learning process, one for language modelling and other for image recognition. It first identifies objects in image and prov…

The projects I do in Machine Learning with PyTorch, keras, Tensorflow, scikit learn and Python.

High-resolution breast cancer screening with multi-view deep convolutional neural networks

Learning to Evaluate Image Captioning. CVPR 2018

this is roberta wwm base distilled model which was distilled from roberta wwm by roberta wwm large

Localized Narratives

No description or website provided.

Improving Disfluency Detection by Self-Training a Self-Attentive Model

PyTorch-style and human-readable RegNet with a spectrum of pre-trained models

Deep Learning Transformer models in MATLAB

74.3% MobileNetV3-Large and 67.2% MobileNetV3-Small model on ImageNet

PiGallery: AI-powered Self-hosted Secure Multi-user Image Gallery and Detailed Image analysis using Machine Learning, EXIF Parsing and Geo Tagging

Detect various irregularities of a product as it moves along a conveyor belt.

Image Captioning with Keras

Segmentation models with pretrained backbones. PyTorch.

Pytorch Implementation of Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning

Neural syntax annotator, supporting sequence labeling, lemmatization, and dependency parsing.

Code for "Aligning Visual Regions and Textual Concepts for Semantic-Grounded Image Representations" （NeurIPS 2019）

An unofficial Gluon FR Toolkit for face recognition. https://gluon-face.readthedocs.io

Create a concurrent video analysis pipeline featuring multistream face and human pose detection, vehicle attribute detection, and the ability to encode multiple videos to local storage in a single stream.

Finetuning any DNN for better embedding on neural search tasks

Code for ACL'2021 paper WARP 🌀 Word-level Adversarial ReProgramming. Outperforming `GPT-3` on SuperGLUE Few-Shot text classification. https://aclanthology.org/2021.acl-long.381/

PyTorch source code for "Stacked Cross Attention for Image-Text Matching" (ECCV 2018)

Observe workers as they pass in front of a camera to determine if they have adequate safety protection.

Official pytorch implementation of paper "Dual-Level Collaborative Transformer for Image Captioning" (AAAI 2021).

PyTorch implementation of pix2code. 🔥

Text-to-Image generation. The repo for NeurIPS 2021 paper "CogView: Mastering Text-to-Image Generation via Transformers".

Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

A collection of pre-trained RL agents using Stable Baselines3

Show and Tell : A Neural Image Caption Generator

Image Captioning using InceptionV3 and beam search

Predict performance issues with manufacturing equipment motors. Perform local or cloud analytics of the issues found, and then display the data on a user interface to determine when failures might arise.

Multi-Task Pre-Training for Plug-and-Play Task-Oriented Dialogue System (ACL 2022)

Presenting Collection of Pretrained Models. Links to pretrained models in NLP and voice.

Tensorflow implement of paper: A Hierarchical Approach for Generating Descriptive Image Paragraphs

RSTNet: Captioning with Adaptive Attention on Visual and Non-Visual Words (CVPR 2021)

Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

Implementation of "Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning"

Spleeter is Deezer source separation library with pretrained models written in Python and uses Tensorflow. It makes it easy to train source separation model (assuming you have a dataset of isolated sources), and provides already trained state of the art model for performing various flavour of separation :

A fast implementation of Neural Image Caption by Chainer

Code for our paper CPPE - 5 (Medical Personal Protective Equipment), a new challenging object detection dataset