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University of Seville
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07:35
(UTC +01:00) - https://orcid.org/0000-0002-2036-3605
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🚀 Level up your GitHub profile readme with customizable cards including LOC statistics!
Track and evaluate the performance of your investment portfolio across stocks, cryptocurrencies, and other assets.
A Latex style and template for paper preprints (based on NIPS style)
Kinyugo / arxiv-style
Forked from kourgeorge/arxiv-styleA Latex style and template for paper preprints (based on NIPS style)
Elucidating the Design Space of Diffusion-Based Generative Models (EDM)
A mini-library for training consistency models.
A Toolkit for OpenAI's Consistency Models.
Auto_Jobs_Applier_AI_Agent aims to easy job hunt process by automating the job application process. Utilizing artificial intelligence, it enables users to apply for multiple jobs in an tailored way.
Official implementation of "Hydra: Bidirectional State Space Models Through Generalized Matrix Mixers"
repository for easy generation of tabulated dataset from the MIMIC-III database
Schedule-Free Optimization in PyTorch
AlexeyAB / darknet
Forked from pjreddie/darknetYOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
A survey and paper list of current Diffusion Model for Time Series and SpatioTemporal Data with awesome resources (paper, application, review, survey, etc.).
Codes for "CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation"
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.
Pytorch implementation of Diffusion Models (https://arxiv.org/pdf/2006.11239.pdf)
📊 Python tool for creating datasets with clusters using a normal distribution. Customize clusters, significant columns, and add variability with dummy columns. Ideal for testing clustering algorithms.
Clustering Validity Index based on Chi Square as Python package
MetaGen: A framework for metaheuristic development and hyperparameter optimization in machine and deep learning
Out-of-distribution detection, robustness, and generalization resources. The repository contains a curated list of papers, tutorials, books, videos, articles and open-source libraries etc
Clone to try a simple Electron app (in TypeScript)
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.
Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models l…
A game theoretic approach to explain the output of any machine learning model.
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.