DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models

[ICML 2024] Official implementation of: "Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dependencies and Intra-Series Variations Modeling".

My_deep_learning_code_example

Official implementation of paper:LiNo: Advancing Recursive Residual Decomposition of Linear and Nonlinear Patterns for Robust Time Series Forecasting.

Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.

Muon optimizer for neural networks: >30% extra sample efficiency, <3% wallclock overhead

CEEMDAN_LSTM is a Python project for decomposition-integration forecasting models based on EMD methods and LSTM.

Implementation of (Re-)Imag(in)ing Price Trends

Data annotation toolbox supports image, audio and video data.

An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1)

Simple, unified interface to multiple Generative AI providers

Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.

Papers for AI + quantitative investment

This is the official code and supplementary materials for our AAAI-2024 paper: MASTER: Market-Guided Stock Transformer for Stock Price Forecasting. MASTER is a stock transformer for stock price for…

Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

A simple and flexible code for Reservoir Computing architectures like Echo State Networks

The official repository of the PRformer paper: "PRformer: Pyramidal Recurrent Transformer for Multivariate Time Series Forecasting." This work is developed by the Lab of Professor Feiping Nie (feip…

Official implementation of our ICML 2023 paper "LinSATNet: The Positive Linear Satisfiability Neural Networks".

Learning nonlinear operators via DeepONet

PyTorch and TensorFlow implementation of NCP, LTC, and CfC wired neural models

This repository hosts a stock market prediction model for Tesla and Apple using Liquid Neural Networks. It showcases data-driven forecasting techniques, feature engineering, and machine learning to…

Implementation of adversarial training under fast-gradient sign method (FGSM), projected gradient descent (PGD) and CW using Wide-ResNet-28-10 on cifar-10. Sample code is re-usable despite changing…

A Python package for time series augmentation

This is a collection of resources related with Time-series.