Creator Website provides machine-learning models, research, training resources, or evaluation tools.
Directory
Models & Machine Learning
Models and machine learning covers model hubs, research papers, training guides and evaluation tools. The topic mixes practical resources with reference material, so you will find repositories that host downloadable models next to sites that explain how a technique works. Some entries are collections of papers or benchmarks, and others are tutorials that walk through fine-tuning or deployment. It pays to compare the model licence, the training data, the hardware needed and the date of the last update. The field moves quickly, so verify version notes on the source before you build on anything listed here.
Credyt is real-time monetization infrastructure for AI. It is intended to let builders observe spend per API call, model and customer, enforce budget limits before usage is authorized, and bill customers across usage-based, subscription, hybrid, credit and token pricing models. The team cites backgrounds at Visa, Checkout.com, TrueLayer and SumUp.
CronAI converts plain English scheduling descriptions into cron expressions. Users describe when something should run and the tool generates 5-field cron syntax. It is stated to work with cron-compatible systems including Linux crontab, GitHub Actions, AWS CloudWatch, Kubernetes CronJobs and Vercel Cron. The page also describes the generator as free.
This is a fast C++/CUDA implementation of convolutional [DEEP LEARNING].
A NeurIPS 2022 workshop, held virtually on December 9, on cultures of AI and AI for culture. It is a cross-disciplinary workshop bringing together experts in AI/ML with experts in human biases and cultural theories from HCI and the social sciences to discuss how AI influences culture and how culture influences AI.
Cursor provides machine-learning models, research, training resources, or evaluation tools.
Cybertron is a package in pure Go built upon spaGO that gives Go developers an interface for using NLP technologies with pre-trained Transformer models from the HuggingFace models repository. It is primarily aimed at running inference, with the possibility of adding fine-tuning in the future, and supports models including BERT, ELECTRA, BART, PEGASUS and MarianMT.
Cykel provides a digital worker platform with AI agents for recruitment, sales, and research. Its first worker, Lucy, is an AI recruitment partner. Other workers include Eve, an AI sales agent, and Samson, an AI business analyst. The platform offers a free trial for 14 days on starter and pro plans.
Julia package for Regularized Discriminant Analysis.
DagsHub is an AI platform for managing the machine learning lifecycle, covering dataset curation and annotation, experiment tracking, and model management. It supports unstructured and multimodal data such as text, images, audio, video, and documents. The platform is built on open source tools and formats. DagsHub states it does not currently provide compute resources and relies on the user's own infrastructure.
Dagster is an open source, cloud-native data pipeline orchestrator for the data development lifecycle, with integrated lineage and observability. Users declare data assets as Python functions, and Dagster runs them and keeps assets up to date. It is designed for developing and maintaining data assets such as tables, data sets, machine learning models, and reports.
A personal blog by Daniel Forsyth presenting data analysis posts, including an analysis of 2019 NFC East offensive spending versus production with nflfastR, a StockX data contest entry, mapping of NYC taxi data, and NBA Twitter emoji and word embedding work.
Darknet is an open source neural network framework written in C and CUDA that supports CPU and GPU computation. The repository also references YOLO object detection work, including YOLOv7 and Scaled-YOLOv4 papers and source code.
Daruy provides machine-learning models, research, training resources, or evaluation tools.
Data Driven Code is a GitHub repository containing code from a PyCon Canada 2016 session. The repository provides resources and examples related to data-driven programming techniques presented at the conference.
Data Science at Home is a podcast about machine learning, artificial intelligence, and algorithms. The site describes it as among the top AI and machine learning podcasts in the world and notes that industry leaders have sponsored its initiative.
Data Skeptic is a podcast hosted by Kyle Polich, featuring interviews with experts on data science, machine learning, AI, and statistics.
Enjoy unlimited API calls with Serverless AI Workers/LLMs for just $25 per month. No rate or concurrency limits.
Datumbox is an open-source machine learning framework written in Java for rapid development of machine learning and statistical applications. It focuses on including many machine learning algorithms and statistical methods and on handling large datasets. The code is licensed under the Apache License, Version 2.0, and releases are available on Maven Central, including version 0.8.2.
DEAP is an evolutionary computation framework for Python aimed at rapid prototyping and testing of ideas. It provides genetic algorithms over representations such as lists, arrays, sets, dictionaries, trees and Numpy arrays, genetic programming with prefix trees, evolution strategies including CMA-ES, multi-objective optimisation, and co-evolution of multiple populations. It supports parallelisation via multiprocessing and SCOOP and works out of the box with Python 3 since version 0.8.
Deconstructing the AI Myth: Fallacies and Harms of Algorithmification provides machine-learning models, research, training resources, or evaluation…
DecorAI is an AI design tool that generates photorealistic redesigns from an uploaded photo of a room, kitchen, exterior or garden. Users choose a style and can generate up to four variations per click. Plans list 175 design styles across 135 spaces and access to 20+ AI tools. DecorAI is not free: a 1-day free trial includes 3 designs, after which the monthly plan is $24/month for unlimited AI designs.
A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.
A fast Clojure Tensor & Deep Learning library.