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mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.
Code and Resources for "Feature Engineering and Selection: A Practical Approach for Predictive Models" by Kuhn and Johnson
Spatio Temporal Challenge
Starter notebooks and winning solutions for Challenges
Resoruce to help you to prepare for your comming data science interviews
Neural question generation using transformers
Compendium of free ML reading resources
A curated list of awesome Deep Reinforcement Learning resources.
FastAPI framework, high performance, easy to learn, fast to code, ready for production
rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
A standard framework for modelling Deep Learning Models for tabular data
Using reinforcement learning to find the shortest paths.
User can set up destination for any agent to navigate on Google Map and learn the best route for the agent based on its current condition and the traffic. Our result is 10% less energy consumption …
Vehicle Route Optimization with Reinforcement Learning (SARSA and Q_Learning) for Final Year Project
Free course that takes you from zero to Reinforcement Learning PRO 🦸🏻🦸🏽
MyWallet is a Payment Wallet Application in Java using Spring Boot with Source Code. This is a restful service for the payment wallet application with all necessary APIs. This project is developed …
Notebooks and material for Data Science lecture (2021) at BFH.
Convert documents to structured data effortlessly. Unstructured is open-source ETL solution for transforming complex documents into clean, structured formats for language models. Visit our website …
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
List of Computer Science courses with video lectures.
