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arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
Evaluate your LLM's response with Prometheus and GPT4 💯
Streamlit Annotation Tools is a Streamlit component that gives you access to various annotation tools (labeling, highlighting, etc.) for text data.
As a Pangolin looks for bugs and catches them, the goal of this library is ot help developers finding bugs in their neural networks and newly-created models.
Evaluate the quality of SRT files using the multilingual multimodal SONAR model.
Streamlit — A faster way to build and share data apps.
🔍 LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your d…
LlamaIndex is a data framework for your LLM applications
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
LLM (Large Language Model) FineTuning
Neural Machine Translation (NMT) tutorial. Data preprocessing, model training, evaluation, and deployment.
Repository containing the open source code of works published at the FBK MT unit.
GATE: A Challenge Set for Gender-Ambiguous Translation Examples
In this repository will be published some of the corpora that I helped to create or to annotate.
🦜🔗 Build context-aware reasoning applications
A modular and comprehensive solution to deploy a Multi-LLM and Multi-RAG powered chatbot (Amazon Bedrock, Anthropic, HuggingFace, OpenAI, Meta, AI21, Cohere, Mistral) using AWS CDK on AWS
MAchine Translation Evaluation Online (MATEO)
The DataLitMT project at the Institute of Translation and Multilingual Communication at TH Köln, Germany, aims to develop didactic resources for teaching data literacy to students of translation st…
📋 A list of open LLMs available for commercial use.
Data for evaluating gender bias in coreference resolution systems.
Lab Materials for MIT 6.S191: Introduction to Deep Learning
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.