Popular GitHub Repositories for Applied Cryptography

? Papers & tech blogs by companies sharing their work on data science & machine learning in production.

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

Cool links & research papers related to Machine Learning applied to source code (MLonCode)

Tensorforce: a TensorFlow library for applied reinforcement learning

List of articles related to deep learning applied to music

IBM Fully Homomorphic Encryption Toolkit For Linux. This toolkit is a Linux based Docker container that demonstrates computing on encrypted data without decrypting it! The toolkit ships with two demos including a fully encrypted Machine Learning inference with a Neural Network and a Privacy-Preserving key-value search.

Overview of Modern Deep Learning Techniques Applied to Natural Language Processing

A Framework for Encrypted Machine Learning in TensorFlow

ezkl is an engine for doing inference for deep learning models and other computational graphs in a zk-snark (ZKML). Use it from Python, Javascript, or the command line.

Mastering Applied AI, One Concept at a Time

skweak: A software toolkit for weak supervision applied to NLP tasks

A list of recent papers about Graph Neural Network methods applied in NLP areas.

Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

A curated list of applied machine learning and data science notebooks and libraries across different industries.

We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review and examine some recent papers about tabular GANs in action.

bert-loves-chemistry: a repository of HuggingFace models applied on chemical SMILES data for drug design, chemical modelling, etc.

Applied an ARIMA-LSTM hybrid model to predict future price correlation coefficients of two assets

Applying Machine Learning and AI Algorithms applied to Trading for better performance and low Std.

Course repo for Applied Natural Language Processing (Spring 2019)