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OpenArt is an AI creation platform for generating images, videos, audio and 3D worlds. Its features include a cinematic video generator, a URL to Video tool that turns a web link into a video, and generators for Pixar-style characters, logos, 3D cartoons, technical drawings and interior designs. OpenArt Worlds creates navigable 3D worlds from an image, powered by World Labs spatial AI.
Optunity is a Python library containing various optimizers for hyperparameter tuning. It provides several approaches to solving tuning problems, including cross-validation facilities and score functions. The documentation states it is supported in R, MATLAB, GNU Octave and Java through Jython, and is free software under a BSD-style license.
Summarizer for paper parts. The user needs to copy and paste into their interface.
Paper Digest - ChatGPT is a curated resource page from Paper Digest that collects recent ChatGPT-related academic papers. The Paper Digest team extracts relevant papers, generates associated features for each entry, and sorts the results by relevance and date. The static page is updated bi-weekly, and a more frequently updated online version is also available. The page includes a brief overview of ChatGPT as OpenAI's November 2022 launched generative chatbot built on the GPT-3 family of large language models, fine-tuned with supervised and reinforcement learning techniques.
Paperspace is a cloud GPU platform now owned by DigitalOcean. It provides access to NVIDIA H100 GPUs for AI and machine learning workloads, rendering, 3D graphics, simulations and cloud gaming. Users can develop, train and deploy AI applications on the platform, which is used by over 500,000 builders. Its product offerings include Gradient for AI model development, hosted notebooks, cloud desktops and deployment tools, with solutions tailored for machine learning, enterprise virtual desktops, gaming and rendering use cases.
ParadeDB is an open-source PostgreSQL extension hosted on GitHub. It adds functionality for application data management, full-text search, vector retrieval and data aggregations to PostgreSQL databases, and is the home of the pg_search extension. The repository includes links to associated documentation, community resources, a blog and a changelog.
Phenaki is a Google Research model that synthesizes realistic videos from textual prompt sequences. It uses an encoder-decoder tokenizer for variable-length videos and a transformer that translates text embeddings to video tokens, trained jointly on image-text and video-text data.
Helps find, analyze or synthesize information for research and knowledge discovery.
PromptEden monitors how brands appear in AI answers, compares competitors, and inspects cited sources. It also provides content creation with Eden and connects AI clients through the Model Context Protocol. Paid plans start at $49 per month.
The lightweight PyTorch wrapper for high-performance AI research.
Toolbox of models, callbacks, and datasets for AI/ML researchers.
Convert websites into Markdown by placing the URL in the search bar.
People are writing great tools and papers for improving outputs from GPT. Here are some cool ones we.
REP is a GitHub-hosted machine learning toolbox developed by Yandex, branded as a Reproducible Experiment Platform. It includes documentation for its main features, usage examples, and installation guidance for both Docker and manual setup.
Rivestack offers managed pgvector on dedicated PostgreSQL with local NVMe storage, keeping vectors and application rows in one database. It provides tuned HNSW and StreamingDiskANN indexes, always-on compute with no cold starts, and migration help. Published measurements cover search latency and throughput. New customers get a 7-day free trial, then a plan from $29 per month.
ROCK, the Repository of Open Collections and Knowledge, is an institutional repository. It holds publications, research data, theses, patents, authors and creators, thematic collections, history of LUT and Technology, industry standards, exhibitions and multimedia. University staff can deposit publications and research data for long-term preservation and access.
Scholarcy is a tool for summarizing and organizing research, built around AI-powered tools described as made specifically for academic papers. It converts long texts into interactive summary flashcards highlighting key information, and accepts imports including PDFs, book chapters, articles, Zotero, Google Drive and YouTube. Summaries can be enhanced and exported to other apps and citation managers.
Chroma - Open-source search and retrieval database for AI applications. Vector, full-text, regex, and metadata search. or Cloud available.
Sourcely is an AI-powered academic source finder that searches over 200 million papers based on pasted text, an essay, or a paper. It finds and summarizes credible sources and exports citations. Advanced filters, deep search, and chatting with sources are offered. Plans are billed monthly or annually.
SVGStud.io is an AI-powered SVG generator and editor. It generates SVGs from textual descriptions and optional example images, refines them iteratively, and offers semantic search across a library of 127303 SVGs plus a gallery and in-browser editing. Generated SVGs are licensed under CC-BY-SA 4.0. Inputs are logged and generated SVGs are added to the public library.
TalkToPapers, referenced as the namuan/dr-doc-search GitHub repository, is an open-source tool that enables users to converse with book content, built using GPT-3. The repository includes documentation covering prerequisites, installation steps, and example usage.
Telborg tracks construction and power developments for Texas data centers, drawing on state and county filings. It reports new campuses, power facilities and semiconductor fabs, along with the operator behind an LLC, design and construction firms, approval stage and power supplier. The site also offers a siting demo for a Corpus Christi industrial corridor.
An illustrated explainer article on VQGAN, describing how the model generates images from text at a conceptual level and how VQGAN and CLIP work in tandem. It covers a theory of perception, using transformers to model interactions, expressing images through a codebook, and training the GAN and transformer.
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