Ardaerd

Ardaerd's Stars

• mlabonne/llm-course

  Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

  Language:Jupyter Notebook38k396674k

• keon/awesome-nlp

  :book: A curated list of resources dedicated to Natural Language Processing (NLP)

  16.6k610552.6k

• ml-tooling/best-of-ml-python

  🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

  16.3k404552.4k

• 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:Python15.4k2979092.6k

• huseinzol05/Stock-Prediction-Models

  Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

  Language:Jupyter Notebook8k3811252.8k

• aamini/introtodeeplearning

  Lab Materials for MIT 6.S191: Introduction to Deep Learning

  Language:Jupyter Notebook7.2k293993.6k

• firmai/financial-machine-learning

  A curated list of practical financial machine learning tools and applications.

  Language:Python7.1k263151.3k

• thuml/Time-Series-Library

  A Library for Advanced Deep Time Series Models.

  Language:Python6.6k734891k

• udlbook/udlbook

  Understanding Deep Learning - Simon J.D. Prince

  Language:Jupyter Notebook6.2k911801.3k

• je-suis-tm/quant-trading

  Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD

  Language:Python5.8k243151.2k

• christianversloot/machine-learning-articles

  🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.

  3.4k630723

• youssefHosni/Data-Science-Interview-Questions-Answers

  Curated list of data science interview questions and answers

  3.3k575751

• shashankvemuri/Finance

  150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data

  Language:Python2k691335

• ddz16/TSFpaper

  This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model.

  1.9k6422174

• mfrdixon/ML_Finance_Codes

  Machine Learning in Finance: From Theory to Practice Book

  Language:Jupyter Notebook1.8k618491

• PacktPublishing/Hands-On-Machine-Learning-for-Algorithmic-Trading

  Hands-On Machine Learning for Algorithmic Trading, published by Packt

  Language:Jupyter Notebook1.4k7612630

• zalandoresearch/pytorch-ts

  PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend

  Language:Python1.2k26140191

• Hvass-Labs/FinanceOps

  Research in investment finance with Python Notebooks

  Language:Jupyter Notebook843453210

• GoogleCloudPlatform/keras-idiomatic-programmer

  Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

  Language:Jupyter Notebook809641281

• MAZiqing/FEDformer

  Language:Python629685118

• thuml/Nonstationary_Transformers

  Code release for "Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting" (NeurIPS 2022), https://arxiv.org/abs/2205.14415

  Language:Python46993975

• dgunning/edgartools

  Navigate SEC Edgar data in Python

  Language:Python4582210090

• veeralakrishna/DataCamp-Project-Solutions-Python

  DataCamp Project Solutions

  Language:Jupyter Notebook394162146

• uzaymacar/attention-mechanisms

  Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.

  Language:Python34211284

• urazakgul/python-portfoy-yonetimi-dersleri

  1575224

• hyliush/deep-time-series

  Deep learning PyTorch library for time series forecasting

  Language:Python11511024

• Neuralearn/deep-learning-with-tensorflow-2

  Language:Jupyter Notebook1124384

• furkankirac/cs409-2023-24-spring

  Language:C++12202

• ml-research/WhittleNetworks

  Code for "Whittle Networks: A Deep Likelihood Model for Time Series" @ICML2021

  Language:Python9510

• Totoro8697/LLM-Rag-Exploration

  Language:Jupyter Notebook3100