Distill publishes articles about machine learning, including peer-reviewed explanations of neural network topics such as graph neural networks, feature visualization and feature-wise transformations. In a July 2, 2021 editorial, the team announced that after five years Distill would be taking a break.
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Docs provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
dowel is a logger for machine learning research. It is installed with pip and used by importing dowel and adding outputs such as StdOutput and TensorBoardOutput, then logging messages and tabular records during training runs.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
DressMe.AI provides machine-learning models, research, training resources, or evaluation tools.
DVC (Data Version Control) is an open-source version control system for data science and machine learning projects. It provides a Git-like experience for organizing data, models, and experiments, with free offerings for individual data scientists and enterprise teams.
DVClive is an open-source tool that logs and tracks machine learning metrics, parameters, and models using Git and/or DVC. It is hosted on GitHub as the repository treeverse/dvclive. It provides a simple interface for experiment tracking.
GitHub account of Derrick Schultz, an artist who uses code, describing most of the work as not production level. Listed repositories include ml-art-colabs, a list of Machine Learning Art Colabs, and dataset-tools, tools for quickly normalizing image datasets.
Scala Library/REPL for Machine Learning Research.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
E se estivermos usando uma IA pseudocientífica? - Diogo Cortiz provides machine-learning models, research, training resources, or evaluation tools.
Early days of AI is a blog post by Elad Gil that discusses the early development of machine learning systems and the AI hype cycle. Gil argues that recent advances like transformers and diffusion models represent a new era, distinct from previous AI. He draws on his experience at Google, Twitter, and as an investor.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Python package which helps to debug machine learning classifiers and explain their predictions.
Embedding Similarity Calculator provides machine-learning models, research, training resources, or evaluation tools.
emel is a simple and functional machine learning library built for the Erlang ecosystem and implemented in Gleam. It turns data into functions and supports installing through rebar.config, mix.exs or gleam add. Implemented algorithms include linear regression, k nearest neighbors, decision tree, naive Bayes, k means, perceptron, logistic regression and neural network, along with mathematics, algebra, geometry and statistics.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Machine learning development environment for data science and AI/ML engineering teams.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
EvalML is an AutoML library written in Python that builds, optimizes, and evaluates machine learning pipelines using domain-specific objective functions. It includes data quality checks, cross-validation, preprocessing, feature engineering, feature selection, and model understanding tools. Install from PyPI or conda-forge.
Exam Samurai provides machine-learning models, research, training resources, or evaluation tools.
Explore Clinical & Biomedical Language Models provides machine-learning models, research, training resources, or evaluation tools.