Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

Clock and UART Baud rate generation, radix-4 multiplier, function generator & accelerator wrappers.

Machine learning programming exercises

📖 A curated list of resources dedicated to Natural Language Processing (NLP)

My HackerRank solutions

Example demonstrating how gradient descent may be used to solve a linear regression problem

🔥 A collection of PyTorch notebooks for learning and practicing deep learning

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

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

Data Science Workshop Materials for Stern Business Analytics Club Insight Team

Class Notebooks and Exercises for Winter Semeter 19-20

DevOps with Docker course by the University of Helsinki, Course material

Time series forecasting for individual household power prediction: ARIMA, xgboost, RNN

Fork this template for the 100 days journal - to keep yourself accountable (multiple languages available)