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alns

Adaptive large neighbourhood search in Python.

autogpt_test

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

cambio-cookbook

Example use cases for our open-source libraries, including pykoi and uniflow.

chart-to-text

chartinstruct

chartllama-code

chatpdf

Chat to PDFs.

chatpdf1

Chat with any PDF. Easily upload the PDF documents you'd like to chat with. Instant answers. Ask questions, extract information, and summarize documents with AI. Sources included.

finrl-meta_test

FinRL­-Meta: Dynamic datasets and market environments for FinRL.

finrl-tutorials_dy

Tutorials. Please star.

gpt-pdf-summarizer

PDF summarizer that leverages GPT AI to generate summaries from uploaded PDF files. The application uses FastAPI for the backend and Streamlit for the frontend. The project was created with the assistance of AI language models.

llmtscs_test

Official code for article "LLMLight: Large Language Models as Traffic Signal Control Agents".

lora

Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

nlp-natural-language-processing

Projects and useful articles / links

nlp_quickbook

NLP in Python with Deep Learning

nougat

Implementation of Nougat Neural Optical Understanding for Academic Documents

pymupdf-utilities

Demos, examples and utilities using PyMuPDF

sagemaker-huggingface-inference-toolkit

selfconsistency

Code for the paper: Fighting Fake News: Image Splice Detection via Learned Self-Consistency

ttt-lm-pytorch

Official PyTorch implementation of Learning to (Learn at Test Time): RNNs with Expressive Hidden States

unichart

uniflow-llm-based-pdf-extraction-text-cleaning-data-clustering

LLM-based text extraction from unstructured data like PDFs, Words and HTMLs. Transform and cluster the text into your desired format. Less information loss, more interpretation, and faster R&D!