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The Top 9 Quantitative Finance Tensorflow Open Source Projects
Open source projects categorized as Quantitative Finance Tensorflow
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Economics
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Quantitative Finance
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google/tf-quant-finance
⭐
4,031
High-performance TensorFlow library for quantitative finance.
dependent packages
0
total releases
0
most recent commit
over 2 years ago
maxim5/time-series-machine-learning
⭐
220
Machine learning models for time series analysis
dependent packages
0
total releases
0
most recent commit
over 8 years ago
differential-machine-learning/notebooks
⭐
101
Implement, demonstrate, reproduce and extend the results of the Risk articles 'Differential Machine Learning' (2020) and 'PCA with a Difference' (2021) by Huge and Savine, and cover implementation details left out from the papers.
dependent packages
0
total releases
0
most recent commit
over 3 years ago
timothyyu/gdax-orderbook-ml
⭐
53
Application of machine learning to the Coinbase (GDAX) orderbook
dependent packages
0
total releases
0
most recent commit
over 5 years ago
differential-machine-learning/appendices
⭐
25
Complement the article 'Differential Machine Learning' (Huge & Savine, 2020), including mathematical proofs and important implementation details for production
dependent packages
0
total releases
0
most recent commit
over 3 years ago
gran4/AI-InvestiBot
⭐
18
Innovative, high quality stock bot
dependent packages
0
total releases
0
most recent commit
over 2 years ago
ppoak/BearAlpha
⭐
13
Quant finance Portal based on project BearAlpha. This project contains strategy back test framework with backtrader, database construct with BearAlpha, factor analyze based on BearAlpha, and financial researches on paper or report with research
dependent packages
0
total releases
0
most recent commit
almost 4 years ago
athaker/econ_136
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13
Quant Trading for Financial Economics
dependent packages
0
total releases
0
most recent commit
about 4 years ago
Jcruzsalaverri/Autonomous_trading_system_master_final
⭐
10
An autonomous cryptocurrency trading system. The system will be composed of a primary model evaluated by a secondary machine learning model that is trained to use said exogenous primary model. The primary model will work with market data, while the secondary model will use a set of various features such as social network data or financial news.
dependent packages
0
total releases
0
most recent commit
about 4 years ago
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