dwhaynes's Stars
tayllan/awesome-algorithms
A curated list of awesome places to learn and/or practice algorithms.
javifalces/HFTFramework
HFTFramework utilized for research on " A reinforcement learning approach to improve the performance of the Avellaneda-Stoikov market-making algorithm "
0xfdf/toraniko
A multi-factor equity risk model for quantitative trading.
eevaain/tiny-tpu
A minimal Tensor Processing Unit (TPU) inspired by Google's TPUv1.
MiaDor12/Advanced_Feature_Engineering_of_Raw_Data_of_Stocks-with_PySpark
Features and labels engineering of raw data of quotes of several stocks.
mrdbourke/pytorch-deep-learning
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
bcdannyboy/spreadfinder
Find optimal options spreads based on probability, return on risk, and options pricing
dunan/MultiVariatePointProcess
laforest/FPGADesignElements
A self-contained online book containing a library of FPGA design modules and related coding/design guides.
PacktPublishing/Hands-On-Design-Patterns-with-CPP-Second-Edition
Hands-On Design Patterns with C++ (Second Edition), published by Packt
LechGrzelak/Computational-Finance-Course
Here you will find materials for the course of Computational Finance
PacktPublishing/Modern-CMake-for-Cpp
Modern CMake for C++, published by Packt
PacktPublishing/Software-Architecture-with-Cpp
Software Architecture with C++, published by Packt
ByteByteGoHq/system-design-101
Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.
donnemartin/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
georgezouq/awesome-ai-in-finance
🔬 A curated list of awesome LLMs & deep learning strategies & tools in financial market.
grananqvist/Awesome-Quant-Machine-Learning-Trading
Quant/Algorithm trading resources with an emphasis on Machine Learning
AI4Finance-Foundation/FinRL-Trading
For trading. Please star.
MilesCranmer/awesome-ml-demos
Curated list of interactive ML demos
dustinstansbury/statistical-rethinking-2023
Python implementation of Richard McElreath's Statistical Rethinking 2023 lecture series on causal inference & Bayesian estimation.
stefan-jansen/machine-learning-for-trading
Code for Machine Learning for Algorithmic Trading, 2nd edition.
Ekeany/Boruta-Shap
A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.
mfrdixon/ML_Finance_Codes
Machine Learning in Finance: From Theory to Practice Book
PacktPublishing/Building-Low-Latency-Applications-with-CPP
Building Low Latency Applications with CPP by Packt Publishing
firmai/financial-machine-learning
A curated list of practical financial machine learning tools and applications.
cantaro86/Financial-Models-Numerical-Methods
Collection of notebooks about quantitative finance, with interactive python code.
profitviews/heisenberg
Algo trading code, documentation and webinars.
dendibakh/perf-ninja
This is an online course where you can learn and master the skill of low-level performance analysis and tuning.
bgavran/Category_Theory_Machine_Learning
List of papers studying machine learning through the lens of category theory
jpillora/chisel
A fast TCP/UDP tunnel over HTTP