Popular GitHub Repositories for Applied Ethics

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

所有系统提示都需透明公开

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)

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

Tensorforce: a TensorFlow library for applied reinforcement learning

List of articles related to deep learning applied to music

Mastering Applied AI, One Concept at a Time

This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and beyond.

Overview of Modern Deep Learning Techniques Applied to Natural Language Processing

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.

Deliver safe & effective language models

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

Awesome-LLM-Tabular: a curated list of Large Language Model applied to Tabular Data