Pinned Repositories
500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
500 AI Machine learning Deep learning Computer vision NLP Projects with code
alphafold
Open source code for AlphaFold.
anibahi
Config files for my GitHub profile.
applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
AutoRCCar
OpenCV Python Neural Network Autonomous RC Car
awesome-courses
:books: List of awesome university courses for learning Computer Science!
awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
awesome-jupyter
A curated list of awesome Jupyter projects, libraries and resources
awesome-mlops
A curated list of references for MLOps
awesome-nlp
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
anibahi's Repositories
anibahi/alphafold
Open source code for AlphaFold.
anibahi/anibahi
Config files for my GitHub profile.
anibahi/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
anibahi/awesome-courses
:books: List of awesome university courses for learning Computer Science!
anibahi/awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
anibahi/awesome-jupyter
A curated list of awesome Jupyter projects, libraries and resources
anibahi/awesome-mlops
A curated list of references for MLOps
anibahi/awesome-nlp
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
anibahi/awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
anibahi/bioinformatics
:microscope: Path to a free self-taught education in Bioinformatics!
anibahi/Coursera_Capstone
This project is dedicated to coursera capstone on applied data science course from IBM.
anibahi/CS5242_2021
Neural Networks and Deep Learning, NUS CS5242, 2021
anibahi/Data-science-best-resources
Carefully curated resource links for data science in one place
anibahi/data-science-projects-
This repository is for the different data science and data analysis project I worked on , don't hesitate to give feedback I would appreciate it.
anibahi/DataVirtuoso-
A collection of modern and responsive websites built with HTML, CSS, and JavaScript. Showcasing my skills in machine learning data science.
anibahi/deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
anibahi/detectron2
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
anibahi/google-research
Google Research
anibahi/h2o-3
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
anibahi/introtodeeplearning
Lab Materials for MIT 6.S191: Introduction to Deep Learning
anibahi/keras-io
Keras documentation, hosted live at keras.io
anibahi/learning-spark
Example code from Learning Spark book
anibahi/machine-learning-engineering-for-production-public
Public repo for DeepLearning.AI MLEP Specialization
anibahi/pandas-ai
Pandas AI is a Python library that integrates generative artificial intelligence capabilities into Pandas, making dataframes conversational
anibahi/Pytorch-UNet
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
anibahi/quickdraw-dataset
Documentation on how to access and use the Quick, Draw! Dataset.
anibahi/t81_558_deep_learning
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
anibahi/tab-transformer-keras
Implementation of TabTransformer, attention network for tabular data, in Keras
anibahi/tabnet
PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
anibahi/udlbook
Understanding Deep Learning - Simon J.D. Prince