Trending repositories for topic deep
Low-code framework for building custom LLMs, neural networks, and other AI models
A curated list of amazingly awesome Cybersecurity datasets
A curated list of amazingly awesome Cybersecurity datasets
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
Use property paths (`a.b.c`) get a nested value from an object.
Use property paths (`a.b.c`) get a nested value from an object.
A curated list of amazingly awesome Cybersecurity datasets
Safely get and set deep nested properties using dot notation.
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
Use property paths (`a.b.c`) get a nested value from an object.
Deep diffs two objects, including nested structures of arrays and objects, and returns the difference. ❄️
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
💡 Adversarial attacks on explanations and how to defend them
Discrete choice modeling in Python with large datasets & models - Assortment & Pricing Optimization .
[arXiv:2311.03191] "DeepInception: Hypnotize Large Language Model to Be Jailbreaker"
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
AI-based pathology predicts origins for cancers of unknown primary - Nature
Use property paths (`a.b.c`) get a nested value from an object.
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 curated list of amazingly awesome Cybersecurity datasets
[arXiv:2311.03191] "DeepInception: Hypnotize Large Language Model to Be Jailbreaker"
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
Deep diffs two objects, including nested structures of arrays and objects, and returns the difference. ❄️
AI-based pathology predicts origins for cancers of unknown primary - Nature
Low-code framework for building custom LLMs, neural networks, and other AI models
Safely get and set deep nested properties using dot notation.
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
This repository contains Jupyter Notebooks showcasing different techniques for price prediction using Artificial Neural Networks (ANNs). Topics covered include early stopping, batch normalization, dro...
Low-code framework for building custom LLMs, neural networks, and other AI models
A curated list of amazingly awesome Cybersecurity datasets
Deep diffs two objects, including nested structures of arrays and objects, and returns the difference. ❄️
[arXiv:2311.03191] "DeepInception: Hypnotize Large Language Model to Be Jailbreaker"
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
Final Year B.tech Project on Machine Learning Stock Prediction through Deep Learning
💡 Adversarial attacks on explanations and how to defend them
Discrete choice modeling in Python with large datasets & models - Assortment & Pricing Optimization .
Use property paths (`a.b.c`) get a nested value from an object.
Tsetlin Machine for Logical Learning and Reasoning With Graphs
This repository contains Jupyter Notebooks showcasing different techniques for price prediction using Artificial Neural Networks (ANNs). Topics covered include early stopping, batch normalization, dro...
Canonical Correlation Analysis Zoo: A collection of Regularized, Deep Learning based, Kernel, and Probabilistic methods in a scikit-learn style framework
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...
Deep & Classical Reinforcement Learning + Machine Learning Examples in Python
Safely get and set deep nested properties using dot notation.
Final Year B.tech Project on Machine Learning Stock Prediction through Deep Learning
Deformable visual odometry for stereo endoscopic videos
[arXiv:2311.03191] "DeepInception: Hypnotize Large Language Model to Be Jailbreaker"
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...
A curated list of amazingly awesome Cybersecurity datasets
Jupyter Notebook tutorials for ECE 046211 Deep Learning course at the Technion
PYTHON CODE TO SEARCH BY DORK ON (.onion) WEBSITES , NORMAL WEBSITES AND LEARN HOW DORK WORK.
💡 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
Use property paths (`a.b.c`) get a nested value from an object.
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. ❄️
Low-code framework for building custom LLMs, neural networks, and other AI models
AI-based pathology predicts origins for cancers of unknown primary - Nature