Popular GitHub Repositories for Form Handling

? Typebot is a powerful chatbot builder that you can self-host.

KAG is a logical form-guided reasoning and retrieval framework based on OpenSPG engine and LLMs. It is used to build logical reasoning and factual Q&A solutions for professional domain knowledge bases. It can effectively overcome the shortcomings of the traditional RAG vector similarity calculation model.

Flexible and powerful framework for managing multiple AI agents and handling complex conversations

Flexible and powerful framework for managing multiple AI agents and handling complex conversations

? Refly is an open-source AI-native creation engine. Its intuitive free-form canvas interface combines multi-threaded dialogues, artifact, AI knowledge base integration, chrome extension clip & save, contextual memory, intelligent search, WYSIWYG AI editor and more, empowering you to effortlessly transform ideas into production-ready content.

Dockerized FastAPI wrapper for Kokoro-82M text-to-speech model w/CPU ONNX and NVIDIA GPU PyTorch support, handling, and auto-stitching

Resources on the topic of digital morphogenesis (creating form with code). Includes links to major articles, code repos, creative projects, books, software, and more.

Developer friendly Natural Language Processing ?

Tools for handling speech data in machine learning projects.

Closed-form Continuous-time Neural Networks

Text to video generator in the brainrot form. Learn about any topic from your favorite personalities ?.

Benchmarking long-form factuality in large language models. Original code for our paper "Long-form factuality in large language models".

High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)

Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers [CVPR 2021]

A set of tools to use in Microsoft Azure Form Recognizer and OCR services.

ProphitBet is a Machine Learning Soccer Bet prediction application. It analyzes the form of teams, computes match statistics and predicts the outcomes of a match using Advanced Machine Learning (ML) methods. The supported algorithms in this application are Neural Networks, Random Forests & Ensembl Models.

The simplest form of an artificial neural network explained and demonstrated.

A package to evaluate factuality of long-form generation. Original implementation of our EMNLP 2023 paper "FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation"

MOSS-TTSD is a spoken dialogue generation model that enables expressive dialogue speech synthesis in both Chinese and English, supporting zero-shot multi-speaker voice cloning, and long-form speech generation.

A multi-player tournament benchmark that tests LLMs in social reasoning, strategy, and deception. Players engage in public and private conversations, form alliances, and vote to eliminate each other