Popular GitHub Repositories for Item Response Theory

This repository is primarily maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), artificial intelligence security, vulnerability research, exploit development, reverse engineering, and more.

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

AI suite powered by state-of-the-art models and providing advanced AI/AGI functions. It features AI personas, AGI functions, multi-model chats, text-to-image, voice, response streaming, code highlighting and execution, PDF import, presets for developers, much more. Deploy on-prem or in the cloud.

Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of intelligence based strictly on the neuroscience of the neocortex.

The unofficial python package that returns response of Google Bard through cookie value.

Fast and flexible AutoML with learning guarantees.

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

Datasets, tools, and benchmarks for representation learning of code.

Artificial intelligence for the Snake game.

A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods

List of papers studying machine learning through the lens of category theory

Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry through innovation, reduce human bias in the modeling process & build a strong open source marketing science community.

AWS-native chatbot using Bedrock

Your 24/7 On-Call AI Agent - Solve Alerts Faster with Automatic Correlations, Investigations, and More

A curated collection of resources and research related to the geometry of representations in the brain, deep networks, and beyond

This Repositry is an experiment with an agent that searches documents and asks questions repeatedly in response to the main question. It automatically determines the optimal answer from the current documents or recognizes when there is no answer.

Evaluate your LLM's response with Prometheus and GPT4 ?

Source codes for the book "Reinforcement Learning: Theory and Python Implementation"

A LLM semantic caching system aiming to enhance user experience by reducing response time via cached query-result pairs.

The unofficial python package that returns response of Google Gemini through cookie values.