Labeeb Ibrahim's Projects
Declarative statistical visualization library for Python
Code for paper Attend, Copy, Parse - End-to-end information extraction from documents (https://arxiv.org/abs/1812.07248)
detect demographic differences in the output of machine learning models or other assessments
Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.
:books: List of awesome university courses for learning Computer Science!
:memo: An awesome Data Science repository to learn and apply for real world problems.
The most cited deep learning papers
A curated list of awesome Machine Learning frameworks, libraries and software.
Myanmar (Burmese) Wordlists Dictionary Collection for word segmentation, line breaking and spellchecking.
Code for a tutorial on Bayesian Statistics by Allen Downey.
A command line app that would broadcast your single message to al of your Social Media Channels
Roadmap to becoming a data engineer in 2020
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.
common data analysis and machine learning tasks using python
Open Source Data Science Resources.
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Repo for the Deep Reinforcement Learning Nanodegree program
Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set (CVPRW 2019). A PyTorch implementation.
A curated list of awesome Deep Learning tutorials, projects and communities. Deep learningηΈε
³ε¦δΉ θ΅ζ. Forked from other github repositories.
An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.
Tutorials on Graph Neural Networks for Analytics Vidhya's Data Hack Summit 2019.
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
The fastai book, published as Jupyter Notebooks
Multilingual word vectors in 78 languages
Free resources for learning data science
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
This repository has the solution to assignments for the course Fundamentals-of-Scalable-Data-Science by IBM on Coursera for future reference. It was a great learning experience and I would not want any other learners to take reference from the same and do them on their own.