David Carreto Fidalgo's repositories
slurm_sweeps
A simple tool to perform parameter sweeps on SLURM clusters.
argilla
✨Argilla: the open-source data curation platform for LLMs
biome-text
Custom Natural Language Processing with big and small models 🌲🌱
brotli-asgi-feedstock
A conda-smithy repository for brotli-asgi.
datasets
🤗 Fast, efficient, open-access datasets and evaluation metrics in PyTorch, TensorFlow, NumPy and Pandas
docsearch-configs
DocSearch - Configurations
gammapy-extra
Gammapy extras (datasets, notebooks, ...)
gammapy-meetings
Gammapy-related meetings (but also other topics!)
lightning
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
ollama
Get up and running with Llama 3, Mistral, Gemma, and other large language models.
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
A hyperparameter optimization framework
PINT
PINT is not TEMPO3 -- New software for high-precision pulsar timing
pytorch_forward_forward
A Pytorch Lightning implementation of Hinton's forward-forward (FF) algorithm - an alternative to back-propagation
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.
ray_lightning
Pytorch Lightning Distributed Accelerators using Ray
representation-engineering
Representation Engineering: A Top-Down Approach to AI Transparency
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.
staged-recipes
A place to submit conda recipes before they become fully fledged conda-forge feedstocks
stopwordsiso-feedstock
A conda-smithy repository for stopwordsiso.
SynthSeg
Contrast-agnostic segmentation of MRI scans
weasel
Weakly Supervised End-to-End Learning (NeurIPS 2021)