Directory
Published directory entries matching your search.
A course on generative modelling, currently unfinished, with the first approximately five lessons mostly done. It covers topics such as PyTorch basics, representations, CLIP, GANs, sequence modelling and transformers. No prior deep learning knowledge is assumed, though comfort with some Python and Jupyter Notebooks is expected.
Julia Evans writes a personal blog about computer tools and programming topics, with posts organized by category. The site notes that a weekly digest of posts is available by subscription, and mentions that she publishes computer zines at Wizard Zines.
A weekly news and interview podcast covering the Kubernetes community, including release discussions, projects, and AI policy topics. Episodes feature guests from the Kubernetes ecosystem and are hosted as numbered installments with accompanying show notes.
LDA is a JavaScript library for node.js that performs Latent Dirichlet allocation topic modeling, extracting topics and related keywords from a collection of documents. It returns an array of topics, each with an array of terms and probabilities, and uses English stop-words by default.
LearnClash is a quiz duel app in which players face a real opponent 1v1 on general knowledge or a chosen topic. Every answer is explained, and missed questions return after 7 days. Duels are turn-based with a 72-hour window per turn. Duels, explanations and missed-question reviews are free, with no ads.
The Pinecone Learning Center is a resource section of the Pinecone website offering educational content related to Pinecone's AI knowledge platform. Available materials include articles, whitepapers, and guides covering topics such as vector database architecture, hybrid search, and retrieval-augmented generation workflows.
LearnPrompting is a free educational resource focused on generative AI and prompt engineering. It provides a comprehensive guide suitable for both beginners and advanced users, with structured courses, modular learning content, specialized topics including prompt hacking and image prompting, and supplementary resources such as a vocabulary guide and community support.
An MIT OpenCourseWare course covering matrix theory and linear algebra, emphasizing topics useful in physics, economics, social sciences, natural sciences and engineering. It is designed for independent study and includes lecture videos by Gilbert Strang, summary notes, problem solving videos, and problem sets with solutions.
Linear Digressions is a podcast series covering machine learning and AI topics, with episodes such as "LLM as a Judge," a cross-post on AI and podcasting from the Harvard Data Science Review, and a benchmark installment on ExploitGym. One episode examines mechanistic interpretability, described as an approach that opens the model itself to trace why it behaves as it does.
Loic Tetrel is a blog about computer science and data science topics. Posts cover subjects such as enabling GPU acceleration in Windows 11 Hyper-V virtual machines, using Android TV without a Google account, and Windows/Linux dual-boot.
Lunary is an observability and prompt management platform for LLM-based applications. It provides chatbot analytics, agent tracing, prompt templates, topic classification, PII masking and feedback tracking. A self-hostable option is offered. The Team cloud plan costs $20 per user per month, billed monthly, and payment is required to activate a workspace.
Machine Learning Mastery is a website that provides educational content such as tutorials, quick start guides, and eBooks to help developers learn and apply machine learning concepts and algorithms. It covers topics like deep learning, computer vision, natural language processing, and specific libraries including TensorFlow, PyTorch, and scikit-learn.
Matt Harrison is a personal blog authored by Matt Harrison. The blog covers topics including Amazon book piracy, the Effective Pandas book, Python and data science courses, and general software development content.
MeTA is a modern C++ data sciences toolkit. It provides text tokenization including deep semantic features like parse trees, inverted and forward indexes with compression and caching strategies, ranking functions for searching indexes, topic models, classification algorithms, graph algorithms, language models, a CRF implementation for POS-tagging and shallow parsing, and wrappers for liblinear and libsvm.
A blog and article site by Meta S. Brown about predictive analytics. It addresses executives, business analysts, IT staff and data analysts, describing how each group can understand analytics, work with analysts, and communicate technical topics to decision makers.
MLBox is an open-source automated machine learning library implemented in Python, hosted in the AxeldeRomblay/MLBox GitHub repository. It provides contribution guidelines, project topic information, and resources documenting the library's functionality.
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.
Multi-Agent AI - Deep Research is a Hugging Face Space developed by bstraehle. Users provide an OpenAI API key and a research topic, and the application generates a detailed research article based on the provided input. The space is currently sleeping due to inactivity.
Multi-Agent Article Writer is a Hugging Face Space created by DrishtiSharma. Users enter a topic, and the tool produces a comprehensive AI-generated article based on that input. The space is currently paused.
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.
A GitHub repository collecting AI learning resources, including over 100 cheat-sheets, free online books, courses, videos and lectures, papers, tutorials, researchers, websites, datasets, conferences, frameworks and tools. Topics include machine learning, deep learning, big data, data science and Python.
NormConf is an online technology conference about topics in data and machine learning that do not receive prominent attention. The 2022 event was held on 15 December, was free to attend, and all talks were recorded and shared on YouTube.
A repository archived by its owner and now read-only. It is an open solution to the TGS Salt Identification Challenge. The project is listed with data science and image segmentation topics. The readme states that support can no longer be provided.
Partially Derivative is a podcast hosted by Chris and Vidya, described as "Car Talk for the data community." Episodes discuss data science, artificial intelligence, deep learning, p-values and related topics. The site notes that the last episode was released for now in September 2017.
