Stars
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
TradingAgents: Multi-Agents LLM Financial Trading Framework
Curso diseñado para proporcionar una comprensión muy profunda del Trading Cuantitativo, fusionando los principios de Ingeniería Financiera con el poder de la Inteligencia Artificial, todo implemen…
📦 Python library for Stochastic Processes Simulation and Visualisation
Self-Organizing Maps library of the InTRA research center.
A collection of social network datasets for teaching with tools like Gephi
The data represents financial transactions -- bank transfers, purchases, credit card transactions, checks, etc. Most of the transactions are legitimate. A few represent money laundering. The data i…
Create Data & AI apps in 20 lines of code with Shimoku
Cursos completos de IA dictados por Humai
aivclab / detr
Forked from facebookresearch/detrEnd-to-End Object Detection with Transformers
Vision Transformers for image classification, image segmentation, and object detection.
Fine-tune Facebook's DETR (DEtection TRansformer) on Colaboratory.
Code for replicating Roboflow 100 benchmark results and programmatically downloading benchmark datasets
The repository for paper VPTR: Efficient Transformers for Video Prediction
End-to-End Object Detection with Transformers
PyTorch code for ETSformer: Exponential Smoothing Transformers for Time-series Forecasting
Forecasting CPI Inflation with Hierarchical Recurrent Neural Networks
Univariate and multivariate time series forecasting, with uncertainty quantification (Python & R)
Temporal Fusion Transformers for Tensorflow 2.x
Transfer 🤗 Learning for Time Series Forecasting
R Markdown notes for Peter D. Hoff, "A First Course in Bayesian Statistical Methods"
Compendio de conocimiento sobre series temporales, para la predicción de series temporales con todos los métodos tratados en nuestro laboratorio DICITS.
GAUSS time series and panel unit root tests compiled by Saban Nazlioglu