lanke2017

dive-into-llms

《动手学大模型Dive into LLMs》系列编程实践教程

transformers-code

手把手带你实战 Huggingface Transformers 课程视频同步更新在B站与YouTube

document.ai

基于向量数据库与GPT3.5的通用本地知识库方案(A universal local knowledge base solution based on vector database and GPT3.5)

resemble-enhance

AI powered speech denoising and enhancement

iTransformer

Unofficial implementation of iTransformer - SOTA Time Series Forecasting using Attention networks, out of Tsinghua / Ant group

LLMs-from-scratch

Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step

python-weekly

A free weekly newsletter featuring noteworthy articles, tutorials, open-source projects, podcasts, videos, trending topics, and more.Python 潮流周刊，分享文章、教程、开源项目、软件工具、播客和视频、热门话题等内容。

gpt_academic

为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。

STU-Net

The largest pre-trained medical image segmentation model (1.4B parameters) based on the largest public dataset (>100k annotations), up until April 2023.

PatchTST

An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730

SCINet

The GitHub repository for the paper: “Time Series is a Special Sequence: Forecasting with Sample Convolution and Interaction“. (NeurIPS 2022)

Book1_Python-For-Beginners

Book_1_《编程不难》 | 鸢尾花书：从加减乘除到机器学习；请多多批评指正！

Python-100-Days

Python - 100天从新手到大师

Bayesian_Statistical_Modeling_with_Stan_R_and_Python

Kentaro Matsuura (2023). Bayesian Statistical Modeling with Stan, R, and Python. Springer, Singapore.

Data-Science-For-Beginners

10 Weeks, 20 Lessons, Data Science for All!

dlwpt-code

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

AI-ECG

Code for training and evaluating AI-ECG models

Awesome-time-series

A comprehensive survey on the time series domains

LTSF-Linear

[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"

Kaggle-Jane-Street-AE-MLP-xgb-TOP1

1th: Kaggle Jane Street Market Prediction: AE MLP+xgb

MTMD-Public

The official implementation of the paper "MTMD: Multi-Scale Temporal Memory Learning and Efficient Debiasing Framework for Stock Trend Forecasting".

Python-for-Signal-Processing

Notebooks for "Python for Signal Processing" book

switching-kalman-filter

Python implementation of the Switching Kalman Filter

Funnel-Transformer

TS-TCC

[IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"

transferlearning

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

imbalanced-regression

[ICML 2021, Long Talk] Delving into Deep Imbalanced Regression

ECG-Heartbeat-Classification-seq2seq-model

Inter- and intra- patient ECG heartbeat classification for arrhythmia detection: a sequence to sequence deep learning approach

transformer-walkthrough

A walkthrough of transformer architecture code

TSCV

Time Series Cross-Validation -- an extension for scikit-learn