Popular GitHub Repositories for Recognizing Textual Entailment

A repository of models, textual inversions, and more

StarVector is a foundation model for SVG generation that transforms vectorization into a code generation task. Using a vision-language modeling architecture, StarVector processes both visual and textual inputs to produce high-quality SVG code with remarkable precision.

Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) by way of Textual Inversion (https://arxiv.org/abs/2208.01618) for Stable Diffusion (https://arxiv.org/abs/2112.10752). Tweaks focused on training faces, objects, and styles.

TextGrad: Automatic ''Differentiation'' via Text -- using large language models to backpropagate textual gradients.

An Open-Source Python3 tool with SMALL models for recognizing layouts, tables, math formulas (LaTeX), and text in images, converting them into Markdown format. A free alternative to Mathpix, empowering seamless conversion of visual content into text-based representations. 80+ languages are supported.

Must-read Papers on Textual Adversarial Attack and Defense

A novel Multimodal Large Language Model (MLLM) architecture, designed to structurally align visual and textual embeddings.

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

A microframework on top of PyTorch with first-class citizen APIs for foundation model adaptation

Accelerated Text is a no-code natural language generation platform. It will help you construct document plans which define how your data is converted to textual descriptions varying in wording and structure.

An Open-Source Package for Textual Adversarial Attack.

Recognizing cropped text in natural images.

(CVPR 2023) Pytorch implementation of “T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations”

Train and Infer Powerful Sentence Embeddings with AnglE | ? SOTA on STS and MTEB Leaderboard

Deep facial expressions recognition using Opencv and Tensorflow. Recognizing facial expressions from images or camera stream

[ACM MM 2023] - LaDI-VTON: Latent Diffusion Textual-Inversion Enhanced Virtual Try-On

The corresponding code from our paper "DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations". Do not hesitate to open an issue if you run into any trouble!

multi_task_NLP is a utility toolkit enabling NLP developers to easily train and infer a single model for multiple tasks.

A command-line interface to generate textual and conversational datasets with LLMs.

Datasets for Knowledge Graph Completion with textual information about the entities