gym-electric-motor (GEM)
gym-electric-motor (GEM): A Python toolbox for the simulation of electric drive systems - Published in JOSS (2021)
kallisto
kallisto: A command-line interface to simplify computational modelling and the generation of atomic features - Published in JOSS (2021)
cblearn
cblearn: Comparison-based Machine Learning in Python - Published in JOSS (2024)
DEEPaaS API
DEEPaaS API: a REST API for Machine Learning and Deep Learning models - Published in JOSS (2019)
awesome-conformal-prediction
A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.
excelnumericaldemos
A set of numerical demonstrations in Excel to assist with teaching / learning concepts in probability, statistics, spatial data analytics and geostatistics. I hope these resources are helpful, Prof. Michael Pyrcz
tooth-detection-and-numbering
T.C. Maltepe University Graduate Project (Tooth Detection and Numbering From Panoramic Radiography Adult Patients Using Artificial Neural Network)
https://github.com/agnostiqhq/covalent
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
https://github.com/vaexio/vaex
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
ml-keyframer
Keyframer: Empowering Animation Design Using Large Language Models
https://github.com/agnostiqhq/covalent-ssh-plugin
Executor plugin interfacing Covalent with remote backends using SSH
netron
Visualizer for neural network, deep learning and machine learning models
https://github.com/agnostiqhq/covalent-slurm-plugin
Executor plugin interfacing Covalent with Slurm
https://github.com/cosmiq/solaris
CosmiQ Works Geospatial Machine Learning Analysis Toolkit
echotorch
A Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module available to easily create Deep Reservoir Computing models.
https://github.com/avivyaish/x2vec
We have implemented, expanded and reviewed the paper “Sense2Vec - A Fast and Accurate Method For Word Sense Disambiguation In Neural Word Embeddings" by Andrew Trask, Phil Michalak and John Liu.
https://github.com/atharvapathak/sales_forecasting_project
Forecasted product sales using time series models such as Holt-Winters, SARIMA and causal methods, e.g. Regression. Evaluated performance of models using forecasting metrics such as, MAE, RMSE, MAPE and concluded that Linear Regression model produced the best MAPE in comparison to other models
peg-ml
pegml is an octave/matlab module used to implement basic machine learning algorithms, it is based upon Andrew Ng Machine Learning course and exercises.
https://github.com/bzubs/mlzero
Implementation of widely used ML algorithms in vanilla python
awesome-ai4lam
A list of awesome AI in libraries, archives, and museum collections from around the world 🕶️
environmental-insights
Code Repository for Environmental Insights, a python package for the accessing and analytics of ambient air pollution concentration data.
https://github.com/cvjena/libmaxdiv
Implementation of the Maximally Divergent Intervals algorithm for Anomaly Detection in multivariate spatio-temporal time-series.
https://github.com/cedrickchee/dawnbench-analysis
DAWNBench analysis of CIFAR-10 time-to-accuracy.