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Searchthearxiv: The code powering searchthearxiv.com, a simple semantic search engine for more than 500,000 ML papers on arXiv. It is listed under Data & Analytics on AI Registry as a free tool.
The tools below are approved listings in the same category, ordered by how closely their tags match Searchthearxiv. This is an automatic list. We have not written a researched verdict for Searchthearxiv 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.
nannyml: post-deployment data science in python
NannyML is a post deployment monitoring product for machine learning models. Its core idea is to estimate model performance when ground truth labels are delayed or missing, so a team can see how a model is doing and be alerted when performance drops rather than when data merely drifts. The company says this cuts false ...
Visualizer for neural network, deep learning and machine learning models
Netron is a viewer for neural network, deep learning and machine learning models. It opens a model file and draws its graph so developers and researchers can inspect the layers, operators and structure of a model, which is useful when debugging, converting or documenting models. The viewer supports ONNX, TensorFlow Li...
Deep-Learning framework for Engineering AI.
The Noether Framework is an open source deep learning framework for engineering AI, built by Emmi AI. It supplies the pieces needed to build, train and apply industrial models on transformer building blocks, so engineering teams do not have to rebuild components or assemble an in house deep learning team. The framewor...
Deep universal probabilistic programming with Python and PyTorch
Pyro is a universal probabilistic programming language written in Python and supported by PyTorch on the backend. It is used for deep probabilistic modeling, combining modern deep learning with Bayesian methods so that users can describe a model as code and run inference over it. The project lists four design principl...
SwanLab - an open-source, modern-design AI training tracking and visualization tool.
SwanLab is an experiment tracking and visualization platform for AI model training, available as a cloud service and as a self hosted deployment. Researchers add a few lines of Python to log metrics, hyperparameters and media, and SwanLab records them in a dashboard during training and as a record for later review. It...
The CLI for GPUs
TensorPool is a GPU cloud for machine learning training and inference. Users create multi node GPU clusters on demand from a command line tool, with commands to create a cluster, attach shared storage and push training jobs through a Git style interface. Normal SSH access is also offered. The company schedules users on...