Automated Car with Reinforcement Learning. Learning is done using penalty and rewards.
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Updated
Jan 6, 2020 - Python
Automated Car with Reinforcement Learning. Learning is done using penalty and rewards.
An improved version of Turbo algorithm for the Black-box optimization competition organized by NeurIPS 2020
Automated ML pipeline for Iris dataset classification using Decision Tree. Features PCA dimensionality reduction and standard scaling.
ArcFace head module for Automated feature extraction/Deep Metric Learning with Autokeras
Automorphic Equivalence-aware Graph Neural Network. NeurIPS 2021.
RADSSo tool in python 3.5
Next generation framework for collaborative data science and automated machine learning
Automated machine learning and data mining software
Meta-Padawan solution to the NeurIPS (2021) - Few-shot learning competition.
Repository for Reproducibility for the Paper: "Q(D)O-ES: Population-based Quality (Diversity) Optimisation for Post Hoc Ensemble Selection in AutoML"
Fully automated machine learning using LLMs.
Automated creation of EntitySets from relational data stored in SQL databases
Jenkins
Fast Deep Evolutionary Network Structured Representation. To cite this software publication: https://www.sciencedirect.com/science/article/pii/S235271102100039X
Fully automated web-scraper that scrapes, cleans, and analyzes LinkedIn connection data and intelligently gathers potential profiles worth connecting with.
This is the Streamlit web application that allows users to upload a dataset, generate an automated exploratory data analysis (EDA) report using the pandas-profiling library, and and train a machine learning model for regression or classification tasks.
lncremental-learning Hyperparameter Optimization in Python
A library based on Keras, SMAC and HpBandSter to auto tune autoencoder architectures.
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