frfrfg's Stars
hiyouga/LLaMA-Factory
Unified Efficient Fine-Tuning of 100+ LLMs (ACL 2024)
huggingface/trl
Train transformer language models with reinforcement learning.
SelfExplainML/PiML-Toolbox
PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics
princeton-nlp/SimPO
[NeurIPS 2024] SimPO: Simple Preference Optimization with a Reference-Free Reward
ContextualAI/HALOs
A library with extensible implementations of DPO, KTO, PPO, ORPO, and other human-aware loss functions (HALOs).
mims-harvard/UniTS
A unified multi-task time series model.
pushpendughosh/Stock-market-forecasting
Forecasting directional movements of stock prices for intraday trading using LSTM and random forest
JINGEWU/Stock-Market-Trend-Analysis-Using-HMM-LSTM
Stock Market Trend Analysis Using Hidden Markov Model and Long Short Term Memory
koa-fin/sep
Code release for "Learning to Generate Explainable Stock Predictions using Self-Reflective Large Language Models" https://arxiv.org/abs/2402.03659
DC-research/TEMPO
The official code for "TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting (ICLR 2024)". TEMPO is one of the very first open source Time Series Foundation Models for forecasting task v1.0 version.
ZebinYang/gaminet
Generalized additive model with pairwise interactions
SCXsunchenxi/TEST
Aaron-Paul/Bitcoin-Price-Twitter-Sentiment-Analysis
Bitcoin price prediction using twitter sentiment analysis
traas-stack/holoinsight-ai
This project provides a time series anomaly detection algorithm based on the dynamic threshold generation model.
MuuYesen/Stock_Trend_Finbert
For Chinese comments, the Finbert model was used to conduct polarity analysis and predict stock price rise
rakshitha123/SETAR_Trees
This repository contains the experiments related to a new and accurate tree-based global forecasting algorithm named, SETAR-Tree.
valentinomario/HMM-Stock-Market-Prediction
MATLAB program to train and test a HMM model for stock market predictions
spykard/Classification-HMMs
A state-of-the art Hidden Markov Model Framework for Sentiment Analysis as well as Classification Tasks in general.
samwycherley/ThresholdStability.jl
Stability Tools for Threshold Vector Autoregressive Models
sunjx1988/smart-stock
使用爬虫从财经网站收集股票财务数据,定制化的分析、展示数据以辅助股票投资决策
benmaier/thresholdmodel
Simulate a continuous-time Watts threshold model on static networks.
wwchong/Market-Volatility-Prediction-Using_TGARCH
Using Threshold GARCH model to predict future market volatility in order to enhance investment decision
mlkremer/thrreg
Estimates the threshold regression model introduced by Hansen (2000)
jngod2011/Stata-Threshold-Vector-Autoregression
A Stata implementation of the Threshold Vector Autoregression Model and a study of a nuisance parameter with bootstrapping and Monte Carlo simulation.
edloginova/cryptodata
Cryptocurrency dataset
edmilsondejesus/stl-arima-svr-lstm
A novel hybrid model with STL decomposition for time series forecasting
LB-Young/LLM_finetune
LLM_finetune
SenolIsci/finance_volatiliy_modeling_regime_detection
Volatility Modeling of times series data. Regime Detection.Hidden Markov Models. high volatility and low volatility regions.