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University of Bristol
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A basic python import profiler to find bottlenecks in import times
Rsync-based Perl script to incrementally mirror enormous directory trees.
My notes as a I go through the legendary 1986 SICP lectures given by Professors Sussman and Abelson.
Caffe Computation Graph Optimization.
A deep merging tool for Python core data structures
Python type inferencer for generating type annotations.
Examples of safe coding practice for Python C extensions.
Seamless operability between C++11 and Python
Make Emacs use the $PATH set up by the user's shell
Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals
PRQL is a modern language for transforming data β a simple, powerful, pipelined SQL replacement
University of Bristol Atmospheric Chemistry Research Group RHIME Inversion code (with openghg dependency)
Efficiently computes derivatives of numpy code.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
We propose a VAE-LSTM model as an unsupervised learning approach for anomaly detection in time series.
attention-based LSTM/Dense implemented by Keras
org-mode exporter to Jupyter notebooks
The official repository for the AiiDA code
The code and data files that accompany a 9-part lecture series on analyzing M/EEG/LFP data.
NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing