Framework for building applications with LLMs and Transformers (e.g. agents, semantic search, question-answering).
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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.
A project to make it easier to use large external knowledge bases with LLMs.
Juno crafts studies, leads interviews, and reveals the why — customer research run by AI.
Keenious recommends relevant academic literature based on the text you are working on. Works in Microsoft Word, Google Docs, and the browser.
A collaborative AI workspace, built on your company context. Build and orchestrate agents right alongside your team.
PyTorch Meta-learning Framework for Researchers.
Search through billions of items for similar matches to any object, in milliseconds. It’s the next generation of search, an API call away.
Universal memory service with semantic search, autonomous consolidation, and multi-client support for AI applications.
免费在线 Meta 分析工具,5 分钟从数据到森林图。支持 OR/RR/HR/MD/SMD,生成森林图、漏斗图,无需 R 或 Stata。Free online meta-analysis tool with forest plot generator.
Framework that implements AutoML algorithms for model architecture search at scale.
Multi-agent Deep-research System supports AI agents, automated workflows, orchestration, or delegated tasks.
An interactive eBook that compiles an extensive collection of research papers on large language model (LLM)-based multi-agent systems.
Blazing fast, lightweight and customizable fuzzy and semantic text search in Python with fuzzywuzzy/thefuzz compatible API.
Bringing Systematic Review to Life.
Semantic search and workflows powered by language models.
Fujitsu Research's post-training quantization pipeline for LLMs (QEP, AutoBit, JointQ, rotation) with vLLM plugin (arXiv:2603.28845).
Summarizer for paper parts. The user needs to copy and paste into their interface.
Accelerate AI training, power complex simulations, and render faster with NVIDIA H100 GPUs on Paperspace. Easy setup, cost-effective cloud compute.
Transactional alternative to Elasticsearch, built on Postgres.
Ask questions to your documents without an internet connection, using the power of LLMs.
Eden is a growth engine for AI search. It finds the questions competitors own in AI answers, turns them into on-brand content, and tracks citations.
Toolbox of models, callbacks, and datasets for AI/ML researchers.