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David Carreto Fidalgo's Projects

allennlp icon allennlp

An open-source NLP research library, built on PyTorch.

argilla icon argilla

✨Argilla: the open-source data curation platform for LLMs

biome-text icon biome-text

Custom Natural Language Processing with big and small models 🌲🌱

datasets icon datasets

πŸ€— Fast, efficient, open-access datasets and evaluation metrics in PyTorch, TensorFlow, NumPy and Pandas

enrico icon enrico

Enrico helps you with your Fermi data analysis

gammapy icon gammapy

A Python package for gamma-ray astronomy

lightning icon lightning

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

ollama icon ollama

Get up and running with Llama 3, Mistral, Gemma, and other large language models.

open-assistant icon open-assistant

OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.

optuna icon optuna

A hyperparameter optimization framework

pint icon pint

PINT is not TEMPO3 -- New software for high-precision pulsar timing

pytorch_forward_forward icon pytorch_forward_forward

A Pytorch Lightning implementation of Hinton's forward-forward (FF) algorithm - an alternative to back-propagation

ray icon ray

A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

segment-anything icon segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

slurm_sweeps icon slurm_sweeps

A simple tool to perform parameter sweeps on SLURM clusters.

staged-recipes icon staged-recipes

A place to submit conda recipes before they become fully fledged conda-forge feedstocks

synthseg icon synthseg

Contrast-agnostic segmentation of MRI scans

weasel icon weasel

Weakly Supervised End-to-End Learning (NeurIPS 2021)

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