jcode helps developers write, search, review, test, or manage code and projects.
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Helps find, analyze or synthesize information for research and knowledge discovery.
Kubernetes-based system for hyperparameter tuning and neural architecture search.
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.
Llama Coder helps developers write, search, review, test, or manage code and projects.
Research on evaluation of LLMs conducted by Microsoft Research and other collaborated institutes. (Updated at: 2023/10).
A deep research tool for searching academic sources, the web, and private documents with local or cloud LLMs. opensource.
Collection of infrastructure and tools for research in neural network interpretability.
Helps find, analyze or synthesize information for research and knowledge discovery.
Meta's AI assistant for chat, image generation, search-style answers, and social platform features.
Helps find, analyze or synthesize information for research and knowledge discovery.
Helps find, analyze or synthesize information for research and knowledge discovery.
One tool that does it all. Search, generate, analyze, and chat—right inside Notion.
Accelerate AI training, power complex simulations, and render faster with NVIDIA H100 GPUs on Paperspace. Easy setup, cost-effective cloud compute.
Helps find, analyze or synthesize information for research and knowledge discovery.
PyGPT is an open‑source desktop AI assistant for Windows, macOS and Linux. Chat, agents, web search, run Python, TTS/STT, plugins, long‑term memory.
Toolbox of models, callbacks, and datasets for AI/ML researchers.
Dump all your files and chat with it using your generative AI second brain using LLMs & embeddings.
Dump all your files and chat with it using your generative AI second brain using LLMs & embeddings.
People are writing great tools and papers for improving outputs from GPT. Here are some cool ones we.
Summarize, analyze and organize your research.
Change just one letter and get github repo context to use as context for your LLM.
Scalable, fast, and disk-friendly vector search in Postgres, the successor of pgvecto.rs.