The AI Scientist: Towards Fully Automated Open-Ended Scientific.
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A super-easy way to record, search and compare 1000s of ML training runs.
Easy way to turn any app into searchable data for LLMs.
Set of seminal AI/ML papers curated by Aman Chadha.
Platform for Neural Network Search (NAS) that allows you to generate efficient deep networks for your applications.
The broad reference for classical AI, including search, reasoning, planning, learning, and robotics.
Automatic architecture search and hyperparameter optimization for PyTorch.
AI Native database for embedding vectors.
A curated list of open-source tools for systematic reviews, meta-analysis, and evidence synthesis.
Blog provides machine-learning models, research, training resources, or evaluation tools.
Latest Papers and Datasets on Multimodal Large Language Models, and Their Evaluation.
Easy to read summaries of popular AI papers.
A collaborative AI workspace, built on your company context. Build and orchestrate agents right alongside your team.
Open-source search infrastructure for AI.
Introducing GetWhys: AI trained on firsthand experiences.
Cosmos helps video companies find the right past work faster, so sales teams can use finished projects to win more deals.
LinkedIn's generalized metadata search & discovery tool.
A PyTorch implementation of CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation".
Listof - Community based data collection, packed in gem. Get list of pretty much anything (stop words, countries, non words) in txt, JSON or hash.
Basic proof of concept for genetic architecture search in Keras.
Example of RAG architecture using semantic search and summarization for retrieving Bible passages.
Early days of AI - by Elad Gil provides machine-learning models, research, training resources, or evaluation tools.
ImageBind One Embedding Space to Bind Them All.
Foundational Models for State-of-the-Art Speech and Text Translation.