wuxxx949

wuxxx949's Stars

• jakerhodes/RF-GAP-Python

  Python code for Random Forest-Geometry- and Accuracy-Preserving Proximities

  Language:Python21

• ghsama/ConvTransformerTimeSeries

  Convolutional Transformer for time series

  Language:Python26253

• d2l-ai/d2l-en

  Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

  Language:Python23.2k4.3k

• qingsongedu/awesome-AI-for-time-series-papers

  A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.

  1.2k114

• zhihanyue/ts2vec

  A universal time series representation learning framework

  Language:Python589142

• liaoyuhua/LLM4TS

  Large Language & Foundation Models for Time Series.

  41235

• Zdong104/FNSPID_Financial_News_Dataset

  FNSPID: A Comprehensive Financial News Dataset in Time Series

  Language:Jupyter Notebook8617

• rasbt/LLMs-from-scratch

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

  Language:Jupyter Notebook27.4k3.1k

• ranaroussi/yfinance

  Download market data from Yahoo! Finance's API

  Language:Python13.1k2.3k

• wuxxx949/stock_embedding_using_LLM

  Based on paper Company Similarity using Large Language Models by D Vamvourellis et al.(2023) from BlackRock

  Language:Python42

• sradc/corrset-benchmark-fork

  A repository to test different performance optimizations in a sparse matrix computation.

  Language:Jupyter Notebook112

• wuxxx949/News_Based_Stock_Embedding

  Based on paper Stock Embeddings Acquired from News Articles and Price History, and an Application to Portfolio Optimization by X Du et al. (2020)

  Language:Python41

• karpathy/nanoGPT

  The simplest, fastest repository for training/finetuning medium-sized GPTs.

  Language:Python36.3k5.7k

• nomic-ai/gpt4all

  GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.

  Language:C++69.5k7.6k

• vsego/shrinking

  Python codes for restoring definiteness of a symmetric matrix by shrinking

  Language:Python3

• tatsu-lab/stanford_alpaca

  Code and documentation to train Stanford's Alpaca models, and generate the data.

  Language:Python29.4k4k

• wuxxx949/stock_embedding

  Based on paper Learning Embedded Representation of the Stock Correlation Matrix using Graph Machine Learning

  Language:Jupyter Notebook132

• vinhkhuc/MemN2N-babi-python

  End-To-End Memory Networks for bAbI question-answering tasks

  Language:Python577146

• Mircea-MMXXI/azapy

  Financial Portfolio Optimization Algorithms

  Language:Jupyter Notebook526

• microsoft/qlib

  Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.

  Language:Python15.2k2.6k

• quantopian/pyfolio

  Portfolio and risk analytics in Python

  Language:Jupyter Notebook5.6k1.8k

• quantopian/empyrical

  Common financial risk and performance metrics. Used by zipline and pyfolio.

  Language:Python1.3k399

• crazyguitar/pysheeet

  Python Cheat Sheet

  Language:Python8k1.2k

• davidgohel/officer

  :cop: officer: office documents from R

  Language:R592106

• AleMorales/RcppSundials.R

  Language:C34

• sn248/sundialr

  R Interface to CVODE/CVODES/IDA functions in the SUNDIALS ODE solving C library

  Language:C104

• src-d/wmd-relax

  Calculates Word Mover's Distance Insanely Fast

  Language:Python46184

• fhamborg/Giveme5W1H

  Extraction of the journalistic five W and one H questions (5W1H) from news articles: who did what, when, where, why, and how?

  Language:HTML50688

• ydataai/ydata-profiling

  1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

  Language:Python12.4k1.7k

• julycoding/The-Art-Of-Programming-By-July-2nd

  本项目曾冲到全球第一，干货集锦见本页面最底部，另完整精致的纸质版《编程之法：面试和算法心得》已在京东/当当上销售

  Language:C21.3k7.1k