DUCKQUANT / THE QUANT & AI DIRECTORY
1,177 resources, ranked by in-directory PageRank
Explore this resource at its source website for documentation and current information.
Explore this resource at its source website for documentation and current information.
Explore this resource at its source website for documentation and current information.
Community forum for algorithmic-trading and machine-learning research on the QuantConnect platform.
Hidden Markov Models with scikit-learn compatible API
scikit-learn compatible wrapper around the GLM module in
A scikit-learn compatible library for learning with time series/panel data including time series classification/regression and (supervised/panel) forecasting
Udacity free course to learn about how to build and apply time series analysis/forecasting in business contexts
Extends the scikit-learn pipeline concept to sequence data
Direct time series classifiers and regressors
Invoicing and accounting for small businesses
Global regulatory perspectives on FinTech.
Open-source standards and projects for finance.
Machine-learning-based fraud detection for payments
Practical guides for payment integration
Tutorials and use cases for open banking
Publication: Post-training 4-bit quantization of convolution networks for rapid-deployment. Published Oct 2, 2018.
Publication: Training and Inference with Integers in Deep Neural Networks. Published Feb 13, 2018.
Publication: Training Quantized Neural Networks with a Full-precision Auxiliary Module. Published Mar 27, 2019.
Publication: Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets. Published Mar 13, 2019.
Publication: Training Quantized Nets: A Deeper Understanding. Published Jun 7, 2017.
Publication: TernGrad: Ternary Gradients to Reduce Communication in Distributed Deep Learning. Published 2017.
Publication: Training a Binary Weight Object Detector by Knowledge Transfer for Autonomous Driving. Published Apr 17, 2018.
Publication: SQuantizer: Simultaneous Learning for Both Sparse and Low-precision Neural Networks. Published Dec 20, 2018.
R - Yield curve or zero-coupon prices interpolation and extrapolation.
Free course on volume analysis and the Wyckoff method: market phases, spring/upthrust, order flow reading.
R - Pricing a variance swap on an equity index.
R - Time Series Analysis and Computational Finance.
R - Rmetrics - Financial Time Series Objects.
Training Interviews - Free timed drill of first round quant interview questions on options and the Greeks, two sided quoting, probability and mental arithmetic.
PCI DSS standards, SAQs, implementation guidance, tooling, and training for protecting cardholder data
Curated list of bank engineering blogs, core systems, standards, and technology resources used in financial institutions
Handbook of engineering patterns for building software that handles money and financial systems.
GPU-accelerated limit-order-book simulator enabling large-scale reinforcement learning for trading.
Proposes a six-axis evaluation framework for reinforcement-learning agents in financial markets.
