atefehmorsali Goto Github PK

amazon-customer-reviews-analysis

applied_machinelearning_projects

automl-timeseries-forecasting

Use of ATSPy, a library to automate time series forecasting, using multiple models and ensembles.

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-public-datasets

A topic-centric list of high-quality open datasets in public domains. By everyone, for everyone!

awesome-rl

Reinforcement learning resources curated

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

chatbot-retrieval

Dual LSTM Encoder for Dialog Response Generation

chatbot_lstm_attensionmechanism

cheatsheets

A repo containing cheat sheets for various languages, frameworks and technologies.

coursera-advanced-machine-learning-specialization

Repo for coursera specialization Advanced Machine Learning by Higher School of Economics

courses

fast.ai Courses

cs231n

my assignment solutions for CS231n Convolutional Neural Networks for Visual Recognition

cs231n-1

Solved assignments from Stanford CS class CS231n: Convolutional Neural Networks for Visual Recognition

cs231n-2017

Completed the CS231n 2017 spring assignments from Stanford university

cs231n-spring-2017

My solutions for cs231 2017 spring

cs294

Deep Reinforcement Learning Homework

data-science-interview-resources

A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

deep-learning

deep-learning-1

Repo for the Deep Learning Nanodegree Foundations program.

deep-learning-assignments-solutions

CS231n: Convolutional Neural Networks for Visual Recognition Assignment solutions

deep-rl-berkeley

Solving homeworks for Berekeley Deep Reinforcement Learning Course

dl

dl course

drl

Deep RL Algorithms implemented for UC Berkeley's CS 294-112: Deep Reinforcement Learning

end-to-end-pyspark

And end-to-end Machine Learning pipeline with PySpark-ML for the famous Telco Customer Churn dataset

entity_discovery_with_deep_architecture

fundamentals-of-deep-learning-book

Code companion to the O'Reilly "Fundamentals of Deep Learning" book

geneticalgorithmswithpython

source code from the book Genetic Algorithms with Python by Clinton Sheppard

interview

Interview questions