Repository Index

🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022

• inpainting
• inpainting-methods
• inpainting-algorithm
• computer-vision

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

• machine-learning
• python
• data-science
• automl

TensorFlow Tutorials with YouTube Videos

• tensorflow
• deep-learning
• machine-learning
• reinforcement-learning

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.

• h2o
• machine-learning
• data-science
• deep-learning

Flax is a neural network library for JAX that is designed for flexibility.

• jax

A scikit-learn compatible neural network library that wraps PyTorch

• scikit-learn
• pytorch
• machine-learning
• huggingface

links to conference publications in graph-based deep learning

• graph-neural-networks
• graph-convolutional-networks
• graph
• deep-learning

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

• tensorflow
• machine-learning
• regression
• convolutional-neural-networks

🛠 All-in-one web-based IDE specialized for machine learning and data science.

• machine-learning
• deep-learning
• data-science
• docker

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

• machine-learning
• deep-learning
• lstm
• human-activity-recognition

MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases

• mimic-iii
• critical-care
• icu
• physionet

TensorFlow Tutorials

• tensorflow-tutorials
• convolutional-neural-networks
• recurrent-neural-networks

2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

• machine-learning
• python
• statistics
• scikit-learn

Implementing a Neural Network from Scratch

An experimentation and research platform to investigate the interaction of automated agents in an abstract simulated network environments.

Synthetic data generators for tabular and time-series data

• gan-architectures
• gan
• deep-learning
• synthetic-data

Koç University deep learning framework.

• knet
• deep-learning
• julia
• machine-learning

Detecting Text in Natural Image with Connectionist Text Proposal Network (ECCV'16)

• ocr
• text-detection

Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier

• seq2seq
• tensorflow
• tensorflow-tutorials
• python

Recurrent Neural Network Tutorial, Part 2 - Implementing a RNN in Python and Theano

Precision Medicine Knowledge Graph (PrimeKG)

• knowledge-graph
• precision-medicine
• therapeutics
• bioinformatics

A knowledge graph and a set of tools for drug repurposing

• drug-repurposing
• knowledge-graph
• graph-neural-networks
• knowledge-graph-embeddings

food image to recipe with deep convolutional neural networks.

• convolutional-neural-networks
• keras
• chef
• deep-learning

Tutorials, datasets, and other material associated with textbook "A First Course in Network Science" by Menczer, Fortunato & Davis

• social-network
• indiana-university
• network-science
• textbook