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adtk

A Python toolkit for unsupervised anomaly detection in time series

avazu_prediction_sklearn

Kaggle Avazu Competition

cnn-sentence-classification

A tensorflow implementation of Convolutional Neural Networks for Sentence Classification

deep_learning_nlp

Implementation of CNN for document classification in Keras on the IMDB movie review data set

deepjet

deepjetcore

deploying-machine-learning-models

Example Repo for the Udemy Course "Deployment of Machine Learning Models"

dist-keras

Distributed Deep Learning, with a focus on distributed training, using Keras and Apache Spark.

explainable-minichess

Chess for smaller chess variants, MCTS-learning AlphaZero-like, and Concept Detection

fbu

Fully Bayesian Unfolding

gpt4all

gpt4all: a chatbot trained on a massive collection of clean assistant data including code, stories and dialogue

iceberg_2dcnn

Iceberg vs ship image data. 2D CNN classification

imdb-review-analysis-cnn

imdb review text analysis

kaggle-api

Official Kaggle API

kaggle_zillow_xgboost

Zillow's Home Value Prediction

marl-drag-reduction-in-wall-bounded-flows

mtad-gat-pytorch

PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).

pykan

Kolmogorov Arnold Networks

revenue_prediction_tmva

With TMVA in C++

rewts

root_gnn

GNN classification for reconstructed HEP events stored in ROOT

sentiment-analysis-keras-conv

Using Convolutional Neural Net for Sentiment Analysis

shap

A game theoretic approach to explain the output of any machine learning model.

simple-kan-4-time-series

A simple feature-based time series classifier using Kolmogorov–Arnold Networks

simulai

A toolkit with data-driven pipelines for physics-informed machine learning.

som-tsp

Solving the Traveling Salesman Problem using Self-Organizing Maps

steady-state-detector

time_prediction_pylearn

pylearn script for a time prediction

tsaug

A Python package for time series augmentation

udlbook

Understanding Deep Learning - Simon J.D. Prince