Popular GitHub Repositories for Description

Human: AI-powered 3D Face Detection & Rotation Tracking, Face Description & Recognition, Body Pose Tracking, 3D Hand & Finger Tracking, Iris Analysis, Age & Gender & Emotion Prediction, Gaze Tracking, Gesture Recognition

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

D2-Net: A Trainable CNN for Joint Description and Detection of Local Features

Hypernetworks that adapt LLMs for specific benchmark tasks using only textual task description as the input

Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.

Implementation of a Tensor Processing Unit for embedded systems and the IoT.

Pathology Language and Image Pre-Training (PLIP) is the first vision and language foundation model for Pathology AI (Nature Medicine). PLIP is a large-scale pre-trained model that can be used to extract visual and language features from pathology images and text description. The model is a fine-tuned version of the original CLIP model.

Towards Knowledge-Based Personalized Product Description Generation in E-commerce @ KDD 2019

Mimix: A Text Generation Tool and Pretrained Chinese Models

Get an abbreviated description made by an AI of you based on your latest tweets. What do other users perceive from what you tweet?

Referring any person or objects given a natural language description. Code base for RexSeek and HumanRef Benchmark

The idea is to calculate the similarity between the resume and the job description and then return the resumes with the highest similarity score.

A simple web application that lets you replace any part of an image with an image generated based on your description.

CAE-LO: LiDAR Odometry Leveraging Fully Unsupervised Convolutional Auto-Encoder for Interest Point Detection and Feature Description

Takes your video and generates video title, description, hashtags, transcription, subtitles and more.

Multi-Class Text Classification for products based on their description with Machine Learning algorithms and Neural Networks (MLP, CNN, Distilbert).

[ICCV 2023] Multi3DRefer: Grounding Text Description to Multiple 3D Objects

NLP Cloud serves high performance pre-trained or custom models for NER, sentiment-analysis, classification, summarization, paraphrasing, intent classification, product description and ad generation, chatbot, grammar and spelling correction, keywords and keyphrases extraction, text generation, image generation, code generation, and more...

Let AI generate a complete book simply by providing a title and a description

A PyTorch implementation of Context Vector Data Description (CVDD), a method for Anomaly Detection on text.