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QuestionCube, University of Bari Aldo Moro
- Bari, ITALY
- https://pippokill.github.io/
- https://orcid.org/0000-0002-0545-1105
- @basilepp
Highlights
- Pro
Stars
React UI + elegant infrastructure for AI Copilots, in-app AI agents, AI chatbots, and AI-powered Textareas 🪁
Papers from the computer science community to read and discuss.
📚 Freely available programming books
Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting yo…
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Awesome-LLM: a curated list of Large Language Model
Summarize existing representative LLMs text datasets.
Repository for VisualSem: a high-quality knowledge graph to support research in vision and language.
The original sources of MS-DOS 1.25, 2.0, and 4.0 for reference purposes
AXOLOTL-24 (Ascertain and eXplain Overhauls of the Lexicon Over Time at LChange'24): a shared task
Examples, demos and scripts from the book "Modern MSX-BASIC Game Development"
📑 Scripts to repair, verify, OCR, compress, wrangle, crop (etc.) PDFs
Source code for TACT text analysis software, developed 1986-1996
Programmi pubblicati da MC microcomputer
Provides a common interface to many IR ranking datasets.
CROSS LIB - A universal 8-bit library and some games built with it
A python tool for evaluating the quality of sentence embeddings.
Overview of Modern Deep Learning Techniques Applied to Natural Language Processing
Low-code framework for building custom LLMs, neural networks, and other AI models
The EventKG is a novel multilingual resource incorporating event-centric information extracted from several large-scale knowledge graphs such as Wikidata, DBpedia and YAGO, as well as less structur…
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
UppsalaNLP / segmenter
Forked from yanshao9798/segmenterUniversal segmenter based on the Universal Dependency framework, written by Y. Shao, Uppsala University