YoucefBYu
Follow
Stars
Code Repository for Apache Spark Streaming with Python and PySpark(v), Published by Packt
Posit Cheat Sheets - Can also be found at https://posit.co/resources/cheatsheets/.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
TensorFlow code and pre-trained models for BERT
Missing data visualization module for Python.
Code for the paper "Language Models are Unsupervised Multitask Learners"
Cross-platform, customizable ML solutions for live and streaming media.
GoogleTest - Google Testing and Mocking Framework
Machine Learning University: Accelerated Natural Language Processing Class
Machine Learning University: Accelerated Computer Vision Class
The "Python Machine Learning (3rd edition)" book code repository
A scikit-learn compatible neural network library that wraps PyTorch
Must-read Papers on Textual Adversarial Attack and Defense
With the rise of deep learning models and the successful result showing in different domains (such as Computer vision and Natural language processing)researchers and laboratories of chem-informatic…
Information Retrieval basic Models Implementation
An adversarial example library for constructing attacks, building defenses, and benchmarking both
In order to help students and job seekers in their journey of job hunting, from our experience we got the idea to start the project after the successful result of the first prototype that we build …
Keras code and weights files for popular deep learning models.
Interpretability and explainability of data and machine learning models
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Teaching materials for the machine learning and deep learning classes at Stanford and Cornell
Mars craters detection and classification RAMP starting kit
Toolkit for building predictive workflows on top of pydata (pandas, scikit-learn, pytorch, keras, etc.).