mobin nik khesal's repositories
Neural-Network-from-scratch
Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?
feature_engine
Feature engineering package with sklearn like functionality
filtering-service-
The Restful project for filtering rectangulars
caffeine-coroutines
A simple extension that adds Kotlin Coroutines support to caffeine
complete_classification_task
complete_classification_task for messy data
Deep-Metric-Learning-Baselines
PyTorch Implementation for Deep Metric Learning Pipelines
feast
Feature Store for Machine Learning
foundations_for_deep_learning
Building a foundation for deep learning with mathematics and neuroscience
handson-ml2
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.
hera-workflows
Hera is an Argo Workflows Python SDK. Hera aims to make workflow construction and submission easy and accessible to everyone! Hera abstracts away workflow setup details while still maintaining a consistent vocabulary with Argo Workflows.
influxdb
Scalable datastore for metrics, events, and real-time analytics
ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
ml_from_scratch
implementation some famous ml algorithms from scratch
mlens
ML-Ensemble – high performance ensemble learning
spark-on-k8s-operator
Kubernetes operator for managing the lifecycle of Apache Spark applications on Kubernetes.
spotlight
Deep recommender models using PyTorch.
starter-web
Simple starting point website project based upon Initializr