animatedllm.github.io
Understand how large language models work under the hood.
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citationmachine.net
Citation Machine® is a free education and research tool that helps students and professionals properly credit the information they use. It generates citations in APA, MLA, Chicago, Turabian, and Harvard formats, with options to export bibliographies to Google Drive or Microsoft Word. The platform also offers supplementary tools including a plagiarism checker, grammar proofreader, paraphrasing tool, AI-powered writing assistant, and comprehensive citation and writing guides for various formatting styles.
citemaker.com
CiteMaker is an online citation machine and bibliography maker for student academic assignment referencing. It supports formatting citations in APA, Harvard, MLA, Oxford, Chicago, Turabian, and HavAus styles, with tools for automatic and manual citation creation. The service generates in-text citations, allows export of reference lists to email, Microsoft Word, Google Docs, or PDF, offers Google Drive storage, includes an automatic WorldCat OCLC citation generator, and is accessible on PC, iPad iOS, and Android tablets. Registered users can save unlimited reference lists, and a free 30-day trial is available.
cryptomuseum.com
Crypto Museum is a virtual museum in The Netherlands, visitable only on the internet, that preserves the history of cipher machines, spy radio sets, covert equipment, TSCM, intelligence services and related technology. It collects, restores and describes historical items such as the Enigma, and organises exhibitions, events and lectures with other organisations. It is a non-subsidised privately-funded Public Benefit Organisation.
cs1000.surge.sh
Open source reference site for beginners to gain insight into subjects around computer science and software engineering. It lists featured lecturers, and the page was generated using the Wayback machine from a snapshot. The project is described as a handy material for students to complement an existing undergraduate program.
code.google.com
This is a fast C++/CUDA implementation of convolutional [DEEP LEARNING].
edwardlib.org
Edward is a Python library for probabilistic modeling, inference, and criticism. It is a testbed for experimentation and research with probabilistic models, from hierarchical models on small data sets to deep probabilistic models on large data sets. It fuses Bayesian statistics and machine learning, deep learning, and probabilistic programming, and is built on TensorFlow.
github.com
Elicit is an organization whose GitHub page describes it as an AI research assistant, with the stated mission to scale up good reasoning. The account hosts repositories including a machine learning curriculum for learning about foundation models and example usages of the Elicit API.
ernie.baidu.com
ERNIE is Baidu's blog covering its model releases. Posts describe ERNIE 5.1, a model trained with disaggregated fully-asynchronous reinforcement learning and scaled agentic post-training, and ERNIE 5.0, a 2.4 trillion-parameter unified multimodal model trained from scratch that integrates text, image, video and audio in a single autoregressive framework. ERNIE-Image is a text-to-image generation model built on a single-stream Diffusion Transformer.
jetnew.io
A personal notes site with writings on topics the author is thinking about, learning, and working on. It includes an upcoming entry about building Atlas, described as an AI tool for thought, and an archive of earlier posts.
keras.io
Keras is a deep learning API that focuses on debugging speed, code conciseness and maintainability. It uses a multi-backend approach that allows work with JAX, TensorFlow and PyTorch, and the KerasHub library provides Keras 3 implementations of popular model architectures with pretrained checkpoints.
The Master of Data Science (M.A.S.) at Illinois Institute of Technology is a master's program in the School of Computing. It covers machine learning, deep learning, big data analytics and data visualization, with courses available online, on campus or hybrid and full-time, part-time or self-paced schedules.
mlu-explain.github.io
MLU-Explain is an education initiative from Amazon that teaches machine learning concepts through visual essays. It publishes interactive articles on topics such as neural networks, logistic regression, reinforcement learning, ROC and AUC, cross-validation, random forests, and decision trees.
modelzoo.co
Discover open source deep learning code and pretrained models.
nbshare.io
nbshare.io is a platform for learning data analytics using Python and R. It hosts a collection of notebooks covering topics including artificial intelligence, machine learning, basic Python coding, data analytics, web scraping and other related technical subjects.
neuroph.sourceforge.net
Neuroph is a lightweight, open source Java neural network framework released under the Apache 2.0 license. It provides a Java library and a GUI editor, Neuroph Studio, based on the NetBeans Platform, for creating, training and saving neural networks. It supports architectures including Perceptron, Multi Layer Perceptron, Hopfield, Kohonen and RBF networks, and both supervised and unsupervised learning rules.
amplab.cs.berkeley.edu
An NLP toolbox for Matlab under development by researchers at UC Berkeley's AMPLab, intended to process natural language within Matlab rather than switching to other languages. It includes modules for text tokenization, text preprocessing such as stop word removal and stemming, and learning algorithms including linear regression, decision trees, support vector machines and a Naive Bayes classifier.
openrefine.org
OpenRefine is a free, open source tool for working with messy data. It enables users to clean data, transform it between formats, and extend it with web services and external data. All data processing occurs locally on the user's machine rather than in cloud services. Key features include faceting to drill through large datasets, clustering to fix inconsistencies by merging similar values, reconciliation to match datasets to external databases, infinite undo/redo functionality, and support for contributing to Wikidata and other Wikibase instances.
magazine.sebastianraschka.com
An Ahead of AI article by Sebastian Raschka sharing lessons from hundreds of experiments on finetuning LLMs with low-rank adaptation (LoRA), billed as an essential technique for efficiently training custom open-source LLMs. It covers LoRA consistency, QLoRA compute-memory trade-offs, learning rate schedulers, Adam versus SGD, multiple epochs, enabling LoRA for more layers, and balancing rank and alpha.
thealgorithms.github.io
The Algorithms - C++ is a repository of open-source implementations of various algorithms in C++, released under the MIT License. It covers topics including computer science, mathematics, statistics, data science, machine learning and engineering, and is intended as a learning resource for educators and students. The documentation is generated from the source code.
wandb.courses
Free Course and Certification for building an end-to-end machine using W&B.
carmodel.toolpie.com
This page describes an online car recognition tool that identifies vehicle information from an uploaded car picture, including brand, model, year and color. The page states that users upload a photo and click the "Car Model Recognition" button to use a machine learning model to identify the vehicle online. It is one of many tools listed on the ToolPie site.
en.wikipedia.org
Wiki LLM List is a Wikipedia article that catalogs large language models, organized chronologically by release year from 2018 to 2026. The entry includes a structured list of these AI models, supporting references, and links to related content.
spectrum.ieee.org
This is an opinion article published in IEEE Spectrum that critiques "AI for Good" philanthropic campaigns. It argues that these technology-focused initiatives often fail to address underlying social problems in Global South regions, and sometimes involve questionable data mining practices.