Stars
150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data
Python toolkit for quantitative finance
A package for Shrinkage Estimation of Covariance Matrices
This is the official implementation of our mesh-based neural network (MESH2IR) to generate acoustic impulse responses (IRs) for indoor 3D scenes represented using a mesh.
A fork of dwm with comments explaining in detail how the window manager works
🌈 Plugin that creates missing LSP diagnostics highlight groups for color schemes that don't yet support the Neovim 0.5 builtin LSP client.
Koe: open-source software to visualise, segment and classify acoustic units in animal vocalisations
Manipulate audio with a simple and easy high level interface
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
Zenodo_get - a downloader for Zenodo records
A command-line tool to generate, analyze, convert and manipulate colors
Emotion recognition can be achieved by obtaining signals from the brain by EEG . This test records the activity of the brain in form of waves. We have used DEAP dataset on which we are classifying …
A powerful grammar checker for Vim using LanguageTool.
Python command-line script for converting .csv data to LaTeX tables
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while control…
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Train machines like it's 1979! Play Atari 2600 games with gestures.
collection of works aiming at reducing model sizes or the ASIC/FPGA accelerator for machine learning
Source code for Final Year Thesis on implementations of deep learning accelerators on FPGAs.
An FPGA implementation of a classic 80ies speech synthesizer. Done for the Retro Challenge 2017/10.
Parallel signal feature extraction code. The code was originally written for sEMG, but it can be applied to other data arranged as multiple sequences of values (e.g. EEG).
A collection of instrumentation projects for PHYS-230. Mostly python, but also Arduino, PSoC etc.
This is an on-going project repository