Pinned Repositories
ad_examples
A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.
Arabic_Text_Summarization
Arabic Extractive Text Summarization
awesome-public-datasets
An awesome list of high-quality open datasets in public domains (on-going).
Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Churn-Dataset-Analysis-
(In Progress) Baisc Analysis of Churn Dataset Using Pandas
Command-Line-Image-Classifier
Command Line Image Classifier using pytorch pretrained netwroks
competitive-data-science
Materials for "How to Win a Data Science Competition: Learn from Top Kagglers" course
Compression-Algorithms-Implementation
java Implementation for famous Compression Algorithms
Concrete-Autoencoders
Reinforcement-Learning-Trading-
Reinforcement Learning Algorithms using pytorch
OmarOsman's Repositories
OmarOsman/Reinforcement-Learning-Trading-
Reinforcement Learning Algorithms using pytorch
OmarOsman/ad_examples
A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.
OmarOsman/Arabic_Text_Summarization
Arabic Extractive Text Summarization
OmarOsman/Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
OmarOsman/Churn-Dataset-Analysis-
(In Progress) Baisc Analysis of Churn Dataset Using Pandas
OmarOsman/Command-Line-Image-Classifier
Command Line Image Classifier using pytorch pretrained netwroks
OmarOsman/Concrete-Autoencoders
OmarOsman/cs231n_assignments
cs231n Spring 2019 coding assignments solution
OmarOsman/Data-Leakage
Data Leakage Programming Assignment for "How to win a data science competition" Coursera course.
OmarOsman/DataScienceCourse
This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.
OmarOsman/dynamic-KG
Dynamic (Temporal) Knowledge Graph Completion (Reasoning)
OmarOsman/efficient-dl-systems
Efficient Deep Learning Systems course materials (HSE, YSDA)
OmarOsman/Ensembling
Ensembling Programming Assignment for "How to win a data science competition" Coursera course.
OmarOsman/ganhacks
starter from "How to Train a GAN?" at NIPS2016
OmarOsman/Good-Papers
I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers
OmarOsman/hadron-collider-machine-learning
Materials for "Addressing Large Hadron Collider Challenges by Machine Learning" Coursera MOOC
OmarOsman/interactive-coding-challenges
120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
OmarOsman/ipython-notebooks
A collection of IPython notebooks covering various topics.
OmarOsman/Leetcode
Complete solutions to Leetcode problems; updated daily. (I'm looking for long-term contributors/partners to this repo! Send me PRs if you're interested! - 9/5/2018)
OmarOsman/Machine-Learning-Collection
Traditional Machine Learning and Deeplearning using Pytorch
OmarOsman/Mean_Encoding
Mean Encoding Programming Assignment for "How to win a data science competition" Coursera course.
OmarOsman/mml-book.github.io
Companion webpage to the book "Mathematics For Machine Learning"
OmarOsman/notebooks
Jupyter notebooks for the Natural Language Processing with Transformers book
OmarOsman/ORLIAn-Source-Code
OmarOsman/Parallel_Computing
Implementation of some parallel algorithms using MPI
OmarOsman/pytorch-custom-dataset-examples
Some custom dataset examples for PyTorch
OmarOsman/pytorch-seq2seq
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
OmarOsman/sagemaker-deployment
Code and associated files for the deploying ML models within AWS SageMaker
OmarOsman/TensorFlow-Examples
TensorFlow Tutorial and Examples for beginners
OmarOsman/TMDB-Dataset-Analysis
(In Progress) Baisc Analysis of TMDB Dataset Using Pandas