Search results

Cyber Detective's OSINT Collection is an open source search or OSINT resource for finding information across public web sources.

Open-source project that supports AI-assisted research, knowledge retrieval, summarization, or source analysis.

Data-to-paper: AI-driven research from data to human-verifiable research papers.

LinkedIn's generalized metadata search & discovery tool.

A PyTorch implementation of CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation".

Basic proof of concept for genetic architecture search in Keras.

Dorks-collections-list

github.com

Dorks-collections-list is an open source search or OSINT resource for finding information across public web sources.

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

Example of RAG architecture using semantic search and summarization for retrieving Bible passages.

Scala Library/REPL for Machine Learning Research.

ImageBind One Embedding Space to Bind Them All.

Foundational Models for State-of-the-Art Speech and Text Translation.

The OSINT project, the main idea of which is to collect all the possible Google dorks search combinations and to find the information about the specific web-site: common admin panels, the widespread file types and path traversal. The 100% automated.

A toolkit for reproducible reinforcement learning research.

Open-source project that supports AI-assisted research, knowledge retrieval, summarization, or source analysis.

Framework for building applications with LLMs and Transformers (e.g. agents, semantic search, question-answering).

Research paper summariser application for our hackathon.

Implementation of image to image (pix2pix) translation from the paper by isola et al.[DEEP LEARNING].

AI-native database built for LLM applications, providing incredibly fast vector and full-text search.

Autograd and XLA for high-performance machine learning research.

A project to make it easier to use large external knowledge bases with LLMs.

Open-source project that supports AI-assisted research, knowledge retrieval, summarization, or source analysis.

PyTorch Meta-learning Framework for Researchers.