Time-HD-Lib: A Library for High-Dimensional Time Series Forecasting

This documents the training and evaluation of a Hybrid CNN-LSTM Attention model for time series classification in a dataset. The model combines convolutional neural networks (CNNs) for feature extr…

Using neural networks to detect effects of rapid climate mitigation

Create a dataset of observed precipitation using Machine Learning

Deep Learning Simplified is an Open-source repository, containing beginner to advance level deep learning projects for the contributors, who are willing to start their journey in Deep Learning. Dev…

Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.

All course materials for the Zero to Mastery Deep Learning with TensorFlow course.

A Library for Advanced Deep Time Series Models.

深度学习天气预报模型的动态测试

Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

Repository for Digital Earth Australia Jupyter Notebooks: tools and workflows for geospatial analysis with Open Data Cube and Xarray

PaddleScience is SDK and library for developing AI-driven scientific computing applications based on PaddlePaddle.

Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight), https://openreview.net/forum?id=JePfAI8fah

Time Series Analysis and Forecasting in Python

My Data Science Note

AI实战-practicalAI 中文版

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

Implementation of the PyTorch version of the Weather Deep Learning Model Zoo.

Collection of papers, datasets, code and other resources for object tracking and detection using deep learning

数据挖掘、计算机视觉、自然语言处理、推荐系统竞赛知识、代码、思路

Source code for the manuscript "DEUCE v1.0: A neural network for probabilistic precipitation nowcasting with aleatoric and epistemic uncertainties" by Harnist et al. (2023)

ESMValTool: A community diagnostic and performance metrics tool for routine evaluation of Earth system models in CMIP

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

with Pangu-weather model and FourCastNet model

盘古天气大模型全流程演示（ 输入数据准备、预测及结果可视化）Unofficial demonstration of Huawei's Pangu Weather Model. Implementing the entire process of data preparation for input, forecasting conversion of forecasted results, …

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more