liufliufliuf's Stars
alpacahq/alpaca-py
The Official Python SDK for Alpaca API
ranaroussi/yfinance
Download market data from Yahoo! Finance's API
NielsRogge/Transformers-Tutorials
This repository contains demos I made with the Transformers library by HuggingFace.
lucidrains/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
timeseriesAI/tsai
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
fchollet/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Navidfoumani/ConvTran
This is a PyTorch implementation of ConvTran
yumoxu/stocknet-dataset
A comprehensive dataset for stock movement prediction from tweets and historical stock prices.
YangLinyi/HTML-Hierarchical-Transformer-based-Multi-task-Learning-for-Volatility-Prediction
Code for WWW-20 Paper: HTML: Hierarchical Transformer-based Multi-task Learning for Volatility Prediction
koa-fin/sep
Code release for "Learning to Generate Explainable Stock Predictions using Self-Reflective Large Language Models" https://arxiv.org/abs/2402.03659
QData/spacetimeformer
Multivariate Time Series Forecasting with efficient Transformers. Code for the paper "Long-Range Transformers for Dynamic Spatiotemporal Forecasting."
edumunozsala/NMT-encoder-decoder-Attention
A neural machine translator from english to spanish in tf2 using encoder-decoder with attention
cmiao7-illinois/stock_prediction-based-on-lstm-and-transformer
JordiCorbilla/stock-prediction-deep-neural-learning
Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting
hawemily/transformers-for-stock-price-prediction
ayushabrol13/Forex-Stock-Price-Prediction-using-Transformer-and-Time-Embeddings
This repository contains the code for the Project "Forex Stock Price Prediction using Transformers and Time Embeddings" written in Tensorflow 2.9.1
harvardnlp/annotated-transformer
An annotated implementation of the Transformer paper.
MCG-NJU/VideoMAE
[NeurIPS 2022 Spotlight] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training
rishikksh20/ViViT-pytorch
Implementation of ViViT: A Video Vision Transformer
tensorflow/tensor2tensor
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
PacktPublishing/Modern-Time-Series-Forecasting-with-Python
Modern Time Series Forecasting with Python, published by Packt
PacktPublishing/Time-Series-Analysis-with-Python-Cookbook
Time Series Analysis with Python Cookbook, published by Packt
chenyifanthu/THU-Cloud-Downloader
清华大学云盘 (Tsinghua Cloud) 批量下载助手，适用于分享的文件 size 过大导致无法直接下载的情况，本脚本添加了更多实用的小功能
sinanuozdemir/quick-start-guide-to-llms
The Official Repo for "Quick Start Guide to Large Language Models"
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
exacity/deeplearningbook-chinese
Deep Learning Book Chinese Translation
huggingface/peft
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
huggingface/blog
Public repo for HF blog posts
artidoro/qlora
QLoRA: Efficient Finetuning of Quantized LLMs
yizhongw/self-instruct
Aligning pretrained language models with instruction data generated by themselves.