This repo helps to track model Weights, Biases and Gradients during training with loss tracking and gives detailed insight for Classification-Model Evaluation
GPL-3.0 License
Implementations of the machine learning algorithm with Python and numpy
A library for debugging/inspecting machine learning classifiers and explaining their predictions
Some fundamental machine learning and data-analysis techniques are explained through realistic ex...
Natural Intelligence is still a pretty good idea.
This repository consists of all my Machine Learning Projects.
Jupyter notebooks from the scikit-learn video series
Data science tools for exploration, visualization, and model iteration.
Data Science Notebook on a Classification Task, using sklearn and Tensorflow.
Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and...
🔧 Train off-the-shelf machine learning models in one line of code
Implementation of different ML Algorithms from scratch, written in Python 3.x
An intuitive library to add plotting functionality to scikit-learn objects.
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Sklearn (Scikit-learn) like interface for Chainer
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Expl...