Trending repositories for topic deep

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

Nested copies made easy in Kotlin

Graph deep learning library for materials

Nested copies made easy in Kotlin

Graph deep learning library for materials

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

Nested copies made easy in Kotlin

Graph deep learning library for materials

A curated list of amazingly awesome Cybersecurity datasets

A mindmap summarising Deep Learning concepts.

Nested copies made easy in Kotlin

Graph deep learning library for materials

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.

A curated list of amazingly awesome Cybersecurity datasets

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

Nested copies made easy in Kotlin

Graph deep learning library for materials

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

A mindmap summarising Deep Learning concepts.

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

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

Canonical Correlation Analysis Zoo: A collection of Regularized, Deep Learning based, Kernel, and Probabilistic methods in a scikit-learn style framework

Holistically-Attracted Wireframe Parsing [TPAMI'23] & [CVPR' 20]

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

Tsetlin Machine for Logical Learning and Reasoning With Graphs

Jupyter Notebook tutorials for ECE 046211 Deep Learning course at the Technion

Nested copies made easy in Kotlin

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

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

Graph deep learning library for materials

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

Tsetlin Machine for Logical Learning and Reasoning With Graphs

A curated list of amazingly awesome Cybersecurity datasets

Jupyter Notebook tutorials for ECE 046211 Deep Learning course at the Technion

Canonical Correlation Analysis Zoo: A collection of Regularized, Deep Learning based, Kernel, and Probabilistic methods in a scikit-learn style framework

Holistically-Attracted Wireframe Parsing [TPAMI'23] & [CVPR' 20]

A mindmap summarising Deep Learning concepts.

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

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

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. ❄️

A mindmap summarising Deep Learning concepts.

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

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

A Collection of AIGC Research Groups

Holistically-Attracted Wireframe Parsing [TPAMI'23] & [CVPR' 20]

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

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

Use property paths (`a.b.c`) get a nested value from an object.

Tsetlin Machine for Logical Learning and Reasoning With Graphs

💡 Adversarial attacks on explanations and how to defend them

Canonical Correlation Analysis Zoo: A collection of Regularized, Deep Learning based, Kernel, and Probabilistic methods in a scikit-learn style framework

Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

Deformable visual odometry for stereo endoscopic videos

Talk is cheap,show me the code ! Deep Learning,Leaning deep,Have fun!

Jupyter Notebook tutorials for ECE 046211 Deep Learning course at the Technion

Nested copies made easy in Kotlin

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

A Collection of AIGC Research Groups

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

Deformable visual odometry for stereo endoscopic videos

Graph deep learning library for materials

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

A curated list of amazingly awesome Cybersecurity datasets

Jupyter Notebook tutorials for ECE 046211 Deep Learning course at the Technion

Uniquely flexible and light-weight utility for cloning and deep (recursive) merging of JavaScript objects. Supports descriptor values, accessor functions, and custom prototypes. Provides advanced opti...

PYTHON CODE TO SEARCH BY DORK ON (.onion) WEBSITES , NORMAL WEBSITES AND LEARN HOW DORK WORK.

Holistically-Attracted Wireframe Parsing [TPAMI'23] & [CVPR' 20]

Use property paths (`a.b.c`) get a nested value from an object.

Canonical Correlation Analysis Zoo: A collection of Regularized, Deep Learning based, Kernel, and Probabilistic methods in a scikit-learn style framework

💡 Adversarial attacks on explanations and how to defend them

multi-shot continuations in OCaml

Talk is cheap,show me the code ! Deep Learning,Leaning deep,Have fun!

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

Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

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