github.com
Automatic architecture search and hyperparameter optimization for PyTorch.
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Awesome AutoDL is a curated list of automated deep learning resources and an in-depth analysis, subtitled that neural architecture search is not the end. It collects papers, libraries and benchmarks covering neural architecture search and hyper-parameter optimization.
github.com
An awesome list of open-source tools for systematic reviews, meta-analysis, and evidence synthesis derived from Evidence Synthesis Tools Directory. It organizes tools under categories such as literature search, text mining and NLP, screening, data extraction, risk of bias, meta-analysis statistics, and visualization and reporting.
bitbucket.org
Bitbucket Cloud is a Git-based code and CI/CD tool optimized for teams using Jira. It connects code to Jira and Jira Service Management so teams can move from planning to production with less context switching and fewer handoffs. It offers AI-powered search, chat, code review, pipeline triage, and Jira updates.
paepper.com
A blog post describing a small library for building agents controlled by large language models, inspired by langchain. The agent is instructed by a prompt and runs in a loop of Thought, Action and Observation. Implemented tools include executing Python code in a REPL, Google search and Hacker News search.
clearscope.io
Clearscope is a platform for search and AI discoverability. It includes query tracking, query discovery and search intent analysis, plus AI drafting and content optimization tools. Paid plans include the Essentials tier at $129 per month and the Business tier at $399 per month, with a 14-day free trial.
gdex.ucar.edu
GDEX is NSF NCAR's platform for discovering, sharing, preserving, and analyzing Earth system science data. It provides a dataset search interface, a data deposit request process, and specialized AI-ready and Zarr format datasets. Web services include an API, a Python client, OAI-PMH metadata harvesting, and CSW metadata exposure. Registered users can run a client utility to submit subset requests on select gridded datasets and download completed outputs.
copysmith.ai
Copysmith is a company that builds three specialized AI platforms: Frase, an AI search intelligence and generative engine optimization platform; Describely, an eCommerce content infrastructure platform; and Rytr, an AI conversation platform. These platforms help brands rank in search results, get cited by AI systems, and scale content production.
github.com
LinkedIn's generalized metadata search & discovery tool.
kevincobain2000.github.io
Listof - Community based data collection, packed in gem. Get list of pretty much anything (stop words, countries, non words) in txt, JSON or hash.
github.com
Basic proof of concept for genetic architecture search in Keras.
digitaladarchive.com
Digital Ad Archive is an AI-indexed archive of vintage print advertising spanning the 1920s to the present. Visitors can search the collection by brand, decade and style. The site states that the archive contains more than 52,000 vintage print advertisements with AI-powered metadata.
ess-dive.lbl.gov
ESS-DIVE is a data repository for Earth and environmental sciences. It collects, stores, manages and shares environmental systems data from research sponsored by the U.S. Department of Energy. It offers data submission, review, publication, storage and search services, and lists support for curating FAIR and AI-ready data. It is maintained by Lawrence Berkeley National Laboratory.
expertfile.com
ExpertFile is a platform that helps organizations transform expert knowledge into visible authority across search, AI, and their websites. It offers a no-code solution to assemble expert hubs and structured expert profiles, connects experts with media, prospects and event organizers, manages media and event inquiries in a single system, and distributes expert content across search engines, AI indexes, and media databases to improve expert discoverability.
github.com
Faiss is a library for efficient similarity search and clustering of dense vectors, containing algorithms that search sets of vectors of any size. It is written in C++ with complete wrappers for Python/numpy, with some algorithms implemented on the GPU, and is developed primarily at Meta's Fundamental AI Research group.
github.com
GEO/AEO Tracker helps monitor local SEO visibility, map rankings, business listings, and local search performance.
github.com
Goptuna is a hyperparameter optimization framework inspired by Optuna, written in pure Go. It provides Bayesian optimization, evolution strategies and multi-armed bandit algorithms, including random search, TPE, CMA-ES variants, ASHA and Sobol sampling. It supports a Define-by-Run style API for dynamically constructing search spaces and offers RDB storage for continuing optimizations and scaling studies across workers.
graphlit.com
Graphlit is a context layer for AI agents. It provides real-time synchronization across services including Slack, GitHub, and Jira, operates via a single API with no operations overhead, and includes built-in semantic search.
gridmybusiness.com
A local SEO tool that scans geo-grids to show Google Maps rankings across multiple locations and offers AI-assisted optimization of Google Business Profiles. It includes rank tracking, competitor tracking, support for service area businesses, and AI search visibility checks. Agency features include white-label PDF reports, organized workspaces, and secure team management.
github.com
gtm-engineer-skills helps track or improve visibility in AI search, answer engines, and generative results.
github.com
Guild AI is the source repository for an open source toolkit that automates and optimizes machine learning experiments. It runs unmodified training scripts, captures each run result as a unique experiment, and automates trials using grid search, random search and Bayesian optimization.
github.com
Haystack is an open-source AI orchestration framework for building production-ready LLM applications in Python. It provides modular pipelines and agent workflows with explicit control over retrieval, routing, memory and generation, and is intended for RAG systems, multimodal applications, semantic search, question answering and autonomous agents. Installation is available via pip.
github.com
AI-native database built for LLM applications, providing incredibly fast vector and full-text search.
github.com
KerasTuner is a hyperparameter optimization framework for Keras. It provides a define-by-run syntax for configuring search spaces and includes Bayesian Optimization, Hyperband and Random Search algorithms. It requires Python 3.8+ and TensorFlow 2.0+.