Stars
A high-performance algorithmic trading platform and event-driven backtester
cot_reports is a Python library for fetching the Commitments of Trader reports of the Commodity Futures Trading Commission (CFTC). The following COT reports are supported: Legacy Futures-only, Lega…
Samples and bindings for the Google Assistant API
Python versions of nearest correlation matrix algorithms
PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
Raspberry Pi python motion detection using picamera python module
Example code and applications for machine learning on Graphcore IPUs
Implementation of Graph Convolutional Networks in TensorFlow
Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
Python routines for Monte Carlo integration. Written in Cython and Python for fast computations. @Naereen knows the installation is broken, we're working on it!
code for "Isolating Sources of Disentanglement in Variational Autoencoders".
disentanglement_lib is an open-source library for research on learning disentangled representations.
Dataset to assess the disentanglement properties of unsupervised learning methods
TensorFlow-based neural network library
Experiments for understanding disentanglement in VAE latent representations
Python wrapper to the DIRECT global optimization algorithm with scipy.optimize compatible call syntax
Image augmentation for machine learning experiments.
This repository provides a starter code for using tensorboard via tensorflow for visualising embeddings