chanshing's Stars
pola-rs/polars
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
google-research/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
dask/dask
Parallel computing with task scheduling
modin-project/modin
Modin: Scale your Pandas workflows by changing a single line of code
HypothesisWorks/hypothesis
Hypothesis is a powerful, flexible, and easy to use library for property-based testing.
aws-samples/aws-cdk-examples
Example projects using the AWS CDK
pypa/sampleproject
A sample project that exists for PyPUG's "Tutorial on Packaging and Distributing Projects"
dorny/paths-filter
Conditionally run actions based on files modified by PR, feature branch or pushed commits
yassouali/awesome-semi-supervised-learning
😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.
johannfaouzi/pyts
A Python package for time series classification
python-versioneer/python-versioneer
version-string management for VCS-controlled trees
scikit-multilearn/scikit-multilearn
A scikit-learn based module for multi-label et. al. classification
CSchoel/nolds
Nonlinear measures for dynamical systems (based on one-dimensional time series)
PYFTS/pyFTS
An open source library for Fuzzy Time Series in Python
FlorentF9/DeepTemporalClustering
:chart_with_upwards_trend: Keras implementation of the Deep Temporal Clustering (DTC) model
onlyzdd/ecg-diagnosis
Deep learning for 12-lead ECG interpretation
OxWearables/ssl-wearables
Self-supervised learning for wearables using the UK-Biobank (>700,000 person-days)
ColtAllen/btyd
Buy Till You Die and Customer Lifetime Value statistical models in Python.
max-little/GRAPL
GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference
superlinear-ai/graphchain
⚡️ An efficient cache for the execution of dask graphs.
OxWearables/stepcount
Improved Step Counting via Foundation Models for Wrist-Worn Accelerometers
OxWearables/actipy
Python Software Development Kit (SDK) to process wearable sensor data
OxWearables/asleep
asleep: a sleep classifier for wearable sensor data using machine learning
chanshing/xnes
Implementation of "Exponential Natural Evolution Strategies" (xNES) https://arxiv.org/abs/1106.4487
chanshing/geocondition
Parametric generation of conditional geological realizations using generative neural networks
jrgauthier01/pydata-seattle-2017
Materials for DataScience.com LTV and Neural Nets Talks at PyData Seattle
chanshing/ressim
Reservoir simulation in Python
chanshing/sobolev_gan
Pytorch implemention of Sobolev GAN (https://arxiv.org/abs/1711.04894)
OxWearables/actinet
An activity classification model based on self-supervised learning for wrist-worn accelerometer data.
gmertes/vscode-remote-hpc
A one-click script to setup and connect vscode to a Slurm-based HPC compute node directly from the remote explorer.