Deep Reinforcement Learning

Awesome Easy-to-Use Deep Time Series Modeling based on PaddlePaddle, including comprehensive functionality modules like TSDataset, Analysis, Transform, Models, AutoTS, and Ensemble, etc., supportin…

PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend

A unified framework for machine learning with time series

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

A python library for user-friendly forecasting and anomaly detection on time series.

Time series forecasting with PyTorch

TabMap for high-performance tabular data analysis - Nature BME

MoH: Multi-Head Attention as Mixture-of-Head Attention

This repository contains the official implementation of the research paper, "FastViT: A Fast Hybrid Vision Transformer using Structural Reparameterization" ICCV 2023

LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)

计算机网络笔记

The AMFormer algorithm, accepted at AAAI-2024, for deep tabular learning

Linux工具快速教程

🐧 Linux教程，主要内容：Linux 命令、Linux 系统运维、软件运维、精选常用Shell脚本

A code library and benchmark study on SOH estimation of lithium-ion battery

data and code for the paper "Battery state of charge probabilistic estimation using natural gradient boosting"

Repository for the feature selection with tabular models

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

One of the first implementations of Grad-CAM ++ for time series / 1d signal.

An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization

Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.

【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

[ECCV 2024] Official repository of Agent Attention

PyTorch re-implementation of Grad-CAM (+ vanilla/guided backpropagation, deconvnet, and occlusion sensitivity maps)

CNN可视化代码，帮助了解建立GradCam过程， 代码中文注解

Calculating the fisher information in variational autoencoders

Implementation of the MMD VAE paper (InfoVAE: Information Maximizing Variational Autoencoders) in pytorch

A Library for Advanced Deep Time Series Models for General Time Series Analysis.

A PyTorch Library for Multi-Task Learning