AWS Certified Cloud Practitioner Short Notes And Practice Exams (CLF-C02)

This repository contains System Design resources which are useful while preparing for interviews and learning Distributed Systems

A course in reinforcement learning in the wild

FinRL: Financial Reinforcement Learning. 🔥

List of Computer Science courses with video lectures.

Python Implementation of Reinforcement Learning: An Introduction

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

Reinforcement learning resources curated

Pen and paper exercises in machine learning

Using RL for anomaly detection in NSL-KDD

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

Machine learning and deep learning resources

📺 Discover the latest machine learning / AI courses on YouTube.

🧮 A collection of resources to learn mathematics for machine learning

pdf of AWS Certified Cloud Practitioner Certification Course from freeCodeCamp.org

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

A curated list of awesome Machine Learning frameworks, libraries and software.

Source code accompanying: BigQuery: The Definitive Guide by Lakshmanan & Tigani to be published by O'Reilly Media

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

Notes for Machine Learning Engineering for Production (MLOps) Specialization course by DeepLearning.AI & Andrew Ng

Assignments of "Machine Learning Engineering for Production (MLOps) Specialization" by Coursera (https://www.coursera.org/specializations/machine-learning-engineering-for-production-mlops)

This repository contains the best resources for learning practical quantum computing. This repository will be updated frequently.

Solutions of the exercises and problems from Michael Nielsen's book Neural Networks and Deep Learning: http://neuralnetworksanddeeplearning.com/

LeetCode solutions.

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

Jupiter Notebooks for the CSC310 "Programming for Data Science" course at the University of Rhode Island.

Python & JAVA Solutions for Leetcode

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

list of papers, code, and other resources