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Coremltools: Core ML tools contain supporting tools for Core ML model conversion, editing, and validation. It is listed under Development & Code on AI Registry as a free tool.
The tools below are approved listings in the same category, ordered by how closely their tags match Coremltools. This is an automatic list. We have not written a researched verdict for Coremltools yet, so treat it as a shortlist and check each vendor's pricing page before switching.
Built from each tool's listing. Vendors can update their own listing after claiming it.
The nnsight package enables interpreting and manipulating the internals of deep learned models.
NNsight is a Python library for interpreting and manipulating the internals of deep learning models. It gives researchers a Pythonic interface to read activations at any layer during a forward pass, modify those activations to study causal effects, and compute gradients with respect to intermediate values. It was devel...
An autoML framework & toolkit for machine learning on graphs.
AutoGL is an open source automated machine learning toolkit for graph data, developed by the Tsinghua University MN Lab (THUMNLab). It lets researchers and developers run AutoML on graph datasets and tasks: rather than hand picking a graph neural network and tuning it, you hand AutoGL a dataset and a task and its solve...
BigQuery DataFrames is a scalable, pandas-compatible DataFrame library.
BigQuery DataFrames, known as BigFrames, is an open source Python library from Google that lets data scientists analyse and model very large datasets directly inside BigQuery. It offers a pandas compatible API, translates Python code into optimised SQL and runs the work across BigQuery's distributed infrastructure, so ...
CALVIN - A benchmark for Language-Conditioned Policy Learning for Long-Horizon Robot Manipulation Tasks
CALVIN (Composing Actions from Language and Vision) is an open source simulated benchmark from the University of Freiburg for training and evaluating robots that follow natural language instructions over long sequences of manipulation tasks. Agents must solve many tabletop manipulation tasks using only onboard sensors,...
Minimalist ML framework for Go.
Candy is a minimalist machine learning framework for the Go programming language, developed by the open source organisation GoCNN. It provides tensor operations, neural network layers, convolutions, flash attention and support for large language models, with an API designed to feel natural to Go developers rather than ...
ChatterBot is a machine learning, conversational dialog engine for creating chat bots
ChatterBot is an open source Python library for building conversational software that generates automated responses to user input. It uses a selection of machine learning methods to choose replies: when a user enters a statement, the library stores it along with the statement it answered, and over time it selects respo...