A collection of research papers on Diffusion Models for Weather Forecasting.

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

A parameterisation and optimisation package for battery models.

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

Probabilistic time series modeling in Python

A Library for Advanced Deep Time Series Models.

extract and tweak data from electrochemical tests of cells

Python example scripts for processing the battery aging data published in [insert description and link here]

A survey and paper list of current Diffusion Model for Time Series and SpatioTemporal Data with awesome resources (paper, application, review, survey, etc.).

[CVPR 2024 Highlight] OPERA: Alleviating Hallucination in Multi-Modal Large Language Models via Over-Trust Penalty and Retrospection-Allocation

The code repository for "Predicting Battery Lifetime Under Varying Usage Conditions from Early Aging Data"

Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

《统计学习方法》的代码实现

An experimental open-source attempt to make GPT-4 fully autonomous.

Pyodide is a Python distribution for the browser and Node.js based on WebAssembly

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Pre-trained Deep Learning models and demos (high quality and extremely fast)

Easy and fast file sharing from the command-line.

Book_1_《编程不难》 | 鸢尾花书：从加减乘除到机器学习；开始上传PDF草稿、Jupyter笔记。文件还会经过至少两轮修改，改动会很大，大家注意下载最新版本。请多提意见，谢谢

500 AI Machine learning Deep learning Computer vision NLP Projects with code

该仓库主要记录 NLP 算法工程师相关的顶会论文研读笔记

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

左神算法

Predicting total battery cycle life time with machine learning

《Pytorch模型训练实用教程》中配套代码

Source code and notebook examples to model the sustainability trade-offs of automotive lithium-ion batteries

Best Practices on Explainable AI (XAI)

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06