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AgentGPT
C++ matching engine
flink
Fourier transform
Hawkes Jump ML
High Frequency Test
javaEXCH
JaxLLM
Julia语言
Latex
List资源合集
LSTM+VAE
Match Engine of L3 Data
memo
Rust机器学习
Rust订单簿模拟
Transformer 时间序列
向量数据库
多变量统计
期权Modeling
期权对冲
期权数据
订单簿强化学习
量子ML
量子RL
量子期权
金融RL
Language: Jupyter Notebook
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Starred repositories
Code for Machine Learning for Algorithmic Trading, 2nd edition.
Foundational Models for State-of-the-Art Speech and Text Translation
强化学习中文教程(蘑菇书🍄),在线阅读地址:https://datawhalechina.github.io/easy-rl/
Automatic extraction of relevant features from time series:
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
Tutorials and programming exercises for learning Q# and quantum computing
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
SoTA LLM for converting natural language questions to SQL queries
Official Repository for "Eureka: Human-Level Reward Design via Coding Large Language Models" (ICLR 2024)
NMA Computational Neuroscience course
An Interactive Introduction to Fourier Transforms
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoe…
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
Machine Learning in Finance: From Theory to Practice Book
Koç University deep learning framework.
Financial Sentiment Analysis with BERT
Experiments with Deep Learning
TradeMaster is an open-source platform for quantitative trading empowered by reinforcement learning 🔥 ⚡ 🌈
A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum compu…
This is a collection of all the code that can be found on my YouTube channel Sigma Coding.
Free course that takes you from zero to Reinforcement Learning PRO 🦸🏻🦸🏽
Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencode…
Pandas DataFrames as Interactive DataTables
This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess finan…
This jupyter notebook is used to demonstrate our recent work, "DeepLOB: Deep Convolutional Neural Networks for Limit Order Books", published in IEEE Transactions on Singal Processing. We use FI-201…