Tianchen Liu's repositories
Attention-CLX-stock-prediction
Attention-based CNN-LSTM and XGBoost hybrid model for stock prediction
Auto-GPT
An experimental open-source attempt to make GPT-4 fully autonomous.
cmake-examples
Useful CMake Examples
CrossSection
Code to accompany our paper Chen and Zimmermann (2020), "Open source cross-sectional asset pricing"
easy-rl
强化学习中文教程（蘑菇书），在线阅读地址：https://datawhalechina.github.io/easy-rl/
lobe-chat
🤯 Lobe Chat - an open-source, modern-design ChatGPT/LLMs UI/Framework. Supports speech-synthesis, multi-modal, and extensible plugin system. One-click FREE deployment of your private ChatGPT/Gemini/Ollama chat application.
mfem
Lightweight, general, scalable C++ library for finite element methods
MNBVC
MNBVC(Massive Never-ending BT Vast Chinese corpus)超大规模中文语料集。对标chatGPT训练的40T数据。MNBVC数据集不但包括主流文化，也包括各个小众文化甚至火星文的数据。MNBVC数据集包括新闻、作文、小说、书籍、杂志、论文、台词、帖子、wiki、古诗、歌词、商品介绍、笑话、糗事、聊天记录等一切形式的纯文本中文数据。
nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
open-interpreter
A natural language interface for computers
Oscar
Oscar and VinVL
PaddleOCR2Pytorch
PaddleOCR inference in PyTorch. Converted from [PaddleOCR](https://github.com/PaddlePaddle/PaddleOCR)
pytorch-distributed
A quickstart and benchmark for pytorch distributed training.
pytorch_classification
利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码
PytorchExample
Pytorch训练自己的数据的示例代码
RHINO-CLI
CLI of OpenRHINO, for application developers.
RHINO-Operator
Everyone can build and run HPC applications on every cloud, without knowing how to install or launch an HPC cluster.
star_tp
star_tp: a parallel code optimization tool based on thread pool and DAG scheduling
Statistical-Learning-Method_Code
手写实现李航《统计学习方法》书中全部算法
Swin-Transformer
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
Time-Series-Forecasting-of-Amazon-Stock-Prices-using-Neural-Networks-LSTM-and-GAN-
Project analyzes Amazon Stock data using Python. Feature Extraction is performed and ARIMA and Fourier series models are made. LSTM is used with multiple features to predict stock prices and then sentimental analysis is performed using news and reddit sentiments. GANs are used to predict stock data too where Amazon data is taken from an API as Gen
Time-Series-Library
A Library for Advanced Deep Time Series Models.
tldr
📚 Collaborative cheatsheets for console commands