Testing framework dedicated to ML models, from tabular to LLMs. Detect risks of biases, performance issues and errors in 4 lines of code.
NVIDIA NIM is a catalog of models offered as inference microservices for deployment on the user's GPU infrastructure. The listings include downloadable models and free or partner endpoints, organized by use cases such as image generation, speech-to-text and drug discovery.
spaCy is a free open-source library for Natural Language Processing in Python. It features named entity recognition, part-of-speech tagging, dependency parsing and word vectors, supports over 75 languages and provides 84 trained pipelines for 25 languages.
Statsmodels is a Python module providing classes and functions for estimating statistical models, conducting statistical tests, and statistical data exploration. It supports model specification using R-style formulas and pandas DataFrames, and is released under the open source Modified BSD (3-clause) license.
Agentprobe is a tool that tests seller URLs for agentic commerce readiness. It evaluates whether an AI agent can discover, quote, and complete a purchase using 13 probes, such as llms.txt, OpenAPI, and checkout APIs. Results are scored from NOT_READY (
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.
IBM Watson is enterprise AI technology from IBM. IBM Research began work in 2007 on a computer system to compete at Jeopardy!, and in 2011 the Watson system defeated two top-ranked players. Watson technology became available as a cloud development platform in 2013. In 2023 IBM announced the watsonx AI portfolio for training, tuning and distributing models.
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NVIDIA NIM is a catalog of models offered as inference microservices for deployment on the user's GPU infrastructure. The listings include downloadable models and free or partner endpoints, organized by use cases such as image generation, speech-to-text and drug discovery.
spaCy is a free open-source library for Natural Language Processing in Python. It features named entity recognition, part-of-speech tagging, dependency parsing and word vectors, supports over 75 languages and provides 84 trained pipelines for 25 languages.
Statsmodels is a Python module providing classes and functions for estimating statistical models, conducting statistical tests, and statistical data exploration. It supports model specification using R-style formulas and pandas DataFrames, and is released under the open source Modified BSD (3-clause) license.
Agentprobe is a tool that tests seller URLs for agentic commerce readiness. It evaluates whether an AI agent can discover, quote, and complete a purchase using 13 probes, such as llms.txt, OpenAPI, and checkout APIs. Results are scored from NOT_READY (
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.
IBM Watson is enterprise AI technology from IBM. IBM Research began work in 2007 on a computer system to compete at Jeopardy!, and in 2011 the Watson system defeated two top-ranked players. Watson technology became available as a cloud development platform in 2013. In 2023 IBM announced the watsonx AI portfolio for training, tuning and distributing models.
