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A curated list of amazingly awesome Cybersecurity datasets

Low-code framework for building custom LLMs, neural networks, and other AI models

A curated list of amazingly awesome Cybersecurity datasets

Low-code framework for building custom LLMs, neural networks, and other AI models

A curated list of amazingly awesome Cybersecurity datasets

Low-code framework for building custom LLMs, neural networks, and other AI models

A mindmap summarising Deep Learning concepts.

Graph deep learning library for materials

A curated list of amazingly awesome Cybersecurity datasets

Graph deep learning library for materials

A mindmap summarising Deep Learning concepts.

Low-code framework for building custom LLMs, neural networks, and other AI models

Low-code framework for building custom LLMs, neural networks, and other AI models

A curated list of amazingly awesome Cybersecurity datasets

Graph deep learning library for materials

Deep diffs two objects, including nested structures of arrays and objects, and returns the difference. ❄️

Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)

Discrete choice modeling in Python with large datasets & models - Assortment & Pricing Optimization .

Tsetlin Machine for Logical Learning and Reasoning With Graphs

A Collection of AIGC Research Groups

[arXiv:2311.03191] "DeepInception: Hypnotize Large Language Model to Be Jailbreaker"

Graph deep learning library for materials

A Collection of AIGC Research Groups

Discrete choice modeling in Python with large datasets & models - Assortment & Pricing Optimization .

This repository contains Jupyter Notebooks showcasing different techniques for price prediction using Artificial Neural Networks (ANNs). Topics covered include early stopping, batch normalization, dro...

Tsetlin Machine for Logical Learning and Reasoning With Graphs

Low-code framework for building custom LLMs, neural networks, and other AI models

A curated list of amazingly awesome Cybersecurity datasets

Nested copies made easy in Kotlin

Graph deep learning library for materials

Deep diffs two objects, including nested structures of arrays and objects, and returns the difference. ❄️

Nested copies made easy in Kotlin

Deformable visual odometry for stereo endoscopic videos

[arXiv:2311.03191] "DeepInception: Hypnotize Large Language Model to Be Jailbreaker"

Final Year B.tech Project on Machine Learning Stock Prediction through Deep Learning

Graph deep learning library for materials