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Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
MisaghM / Digital-Logic-Design-Lab-Experiments
Forked from PashaBarahimi/Digital-Logic-Design-Lab-ExperimentsClock and UART Baud rate generation, radix-4 multiplier, function generator & accelerator wrappers.
khangngt / ml-class
Forked from merwan/ml-classMachine learning programming exercises
fartaha / awesome-nlp
Forked from keon/awesome-nlp📖 A curated list of resources dedicated to Natural Language Processing (NLP)
mohebbim / hackerrank
Forked from charles-wangkai/hackerrankMy HackerRank solutions
Example demonstrating how gradient descent may be used to solve a linear regression problem
dair-ai / pytorch_notebooks
Forked from omarsar/pytorch_notebooks🔥 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.
fartaha / bacinsight_19
Forked from nicoleng/bacinsight_19Data Science Workshop Materials for Stern Business Analytics Club Insight Team
fartaha / Data-Science-and-Business-Analytics-19
Forked from pratik98/Data-Science-and-Business-Analytics-19Class 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)