anibah's Projects
500 AI Machine learning Deep learning Computer vision NLP Projects with code
Open source code for AlphaFold.
Config files for my GitHub profile.
š Papers & tech blogs by companies sharing their work on data science & machine learning in production.
OpenCV Python Neural Network Autonomous RC Car
:books: List of awesome university courses for learning Computer Science!
:memo: An awesome Data Science repository to learn and apply for real world problems.
A curated list of awesome Jupyter projects, libraries and resources
A curated list of references for MLOps
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
:microscope: Path to a free self-taught education in Bioinformatics!
Certifiably robust geometric perception with outliers
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
This project is dedicated to coursera capstone on applied data science course from IBM.
Neural Networks and Deep Learning, NUS CS5242, 2021
Carefully curated resource links for data science in one place
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.
A collection of modern and responsive websites built with HTML, CSS, and JavaScript. Showcasing my skills in machine learning data science.
This repository contains implementations and illustrative code to accompany DeepMind publications
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
Notebooks for learning deep learning
A MNIST-like fashion product database. Benchmark :point_right:
Check out the new game server:
Google Research
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.
Lab Materials for MIT 6.S191: Introduction to Deep Learning
Jupyter metapackage for installation, docs and chat
Keras documentation, hosted live at keras.io
Example code from Learning Spark book