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add SambaNova AI, Vectara, Gamesys, Retool, LambdaLabs (#448)
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* add SambaNova AI

* add Vectara

* add GEMESYS

* add Retool

* Revert "add Retool"

This reverts commit 6a9c945.

* add Lambda Labs
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zhimin-z authored Jan 1, 2024
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* [Domino](https://www.dominodatalab.com/) - An enterprise MLOps platform that supports data scientist collaboration with their preferred tools, languages, and infrastructure, with IT central resource management, governance, and security, without vendor lock-in.
* [Fennel](https://fennel.ai/) - Realtime feature engineering platform for fast moving machine learning teams. Python / Pandas native, built in Rust. Easy to install/use/run, builds upon best practices for reducing data/feature quality issues, and keeps cloud spend low. Fully managed, zero ops.
* [Fiddler](https://www.fiddler.ai/) - Fiddler is a model performance management platform that offers model monitoring, observability, explainability & fairness.
* [Gemesys](https://gemesys.tech/) - GEMESYS aims to design a chip that emulates the human brain, overcoming computing bottlenecks and shaping a better future for everyone.
* [Google Cloud Machine Learning Engine](https://cloud.google.com/ml-engine/) - Managed service that enables developers and data scientists to build and bring machine learning models to production.
* [Gradient](https://gradient.ai/) - Gradient offers fine-tuning as training and inference of LLM's as cloud infrastructure
* [Graphsignal](https://graphsignal.com/) - Machine learning profiler that helps make model training and inference faster and more efficient.
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* [InnerEye](https://innereye.ai/) - InnerEye combines human intelligence with artificial intelligence. By capitalizing on the merging of human neural processing and deep artificial neural networks, InnerEye allows fast and accurate visual inspection, real-time AI training and validation, and establishes a unique human-machine interface for connected user applications.
* [Iguazio Data Science Platform](https://www.iguazio.com/) - Bring your Data Science to life by automating MLOps with end-to-end machine learning pipelines, transforming AI projects into real-world business outcomes, and supporting real-time performance at enterprise scale.
* [Iterative Studio](https://studio.iterative.ai/) - Seamless data and model management, experiment tracking, visualization and automation, with Git as the single source of truth.
* [Lambda Labs](https://lambdalabs.com) - Lambda Labs is a company that provides hardware and software solutions for deep learning applications.
* [Kaggle](https://www.kaggle.com) - Kaggle offers machine learning and data science competitions as well as offering a public data and cloud-based business platform for data science and AI education.
* [Katonic.ai](https://katonic.ai/) - Automate your cycle of Intelligence with Katonic MLOps Platform.
* [Kern AI](https://www.kern.ai/) - Kern AI builds the self-service development environment for NLP training data, used by data scientists to quickly build high-quality, large-scale labeled datasets.
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* [RapidMiner](https://rapidminer.com/) - RapidMiner is the enterprise-ready data science platform that amplifies the collective impact of your people, expertise and data for breakthrough competitive advantage.
* [Replicate](https://replicate.com) - Replicate lets you run machine learning models with a cloud API, without having to understand the intricacies of machine learning or manage your own infrastructure.
* [Robust Intelligence](https://www.robustintelligence.com/) - Robust Intelligence is an end-to-end ML integrity solution that proactively eliminates failure at every stage of the model lifecycle. From pre-deployment vulnerability detection and validation to post-deployment monitoring and protection, Robust Intelligence gives teams the confidence to scale models in production across a variety of use cases and modalities.
* [SambaNova](https://sambanova.ai/) - SambaNova Systems is a company that specializes in generative AI. They offer a full-stack platform that allows users to build powerful AI models, customized with their data, and owned by them.
* [Scale](https://scale.com) - Scale AI turns raw data into high-quality training data by combining machine learning powered pre-labeling and active tooling with varying levels and types of human review.
* [Scribble Enrich](https://www.scribbledata.io/product) - Customizable, auditable, privacy-aware feature store. It is designed to help mid-sized data teams gain trust in the data that they use for training and analysis, and support emerging needs such drift computation and bias assessment.
* [SigOpt](https://sigopt.com/) - SigOpt is a model development platform that makes it easy to track runs, visualize training, and scale hyperparameter optimization for any type of model built with any library on any infrastructure.
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* [Talend Studio](https://www.talend.com/) - Data integration platform that provides various software and services for data integration, data management, enterprise application integration, data quality, cloud storage and Big Data.
* [Tecton](https://www.tecton.ai/) - Tecton is an all-in-one system to build, automate, and centralize feature workflows for production ML.
* [Valohai](https://valohai.com/) - Machine orchestration, version control and pipeline management for deep learning.
* [Vectara](https://vectara.com/) - Vectara is a platform focused on conversational experiences. It provides powerful retrieval, summarization and generation functions, as well as an easy-to-use developer interface.
* [Vertex AI](https://cloud.google.com/vertex-ai) - Vertex AI Workbench is the single environment for data scientists to complete all of their ML work, from experimentation, to deployment, to managing and monitoring models. It is a Jupyter-based fully managed, scalable, enterprise-ready compute infrastructure with security controls and user management capabilities.
* [Ultralytics](https://ultralytics.com/) Ultralytics simplifies data sourcing, labeling, model training, and deployment services that offer artificial intelligence.
* [Weights & Biases](https://github.com/wandb/wandb) ![](https://img.shields.io/github/stars/wandb/wandb.svg?style=social) - Machine learning experiment tracking, dataset versioning, hyperparameter search, visualization, and collaboration.
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