The best alternatives to ML Dictionary are Apple, EC 2, and Machine Learning Weekly. If these 3 options don't work for you, we've listed a few more alternatives below.
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AssemblyAI— Speech-to-Text API with superhuman accuracy
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The Engine is an end-to-end data science and machine learning platform, that empowers everyone, even novice users, to affordably build high-performance ML applications in minutes or hours, not weeks or months.
Atlas allows you to run, track & evaluate machine learning experiments on your infrastructure. Currently used by 700+ data scientists, Atlas helps run experiments concurrently & supports the usage of preemptible/spot instances, saving you up to 8x in GPU cost
As students in high school, we realised that even though it is amazing, machine learning is really difficult to implement into projects. To remove the hassle we faced ourselves, we created MLBlocks. -Train models with only 50 images per class -Create them without expensive GPUs -Deploy on any platform through our API -NO CODE REQUIRED
With almost about 5000 medical words, in this medical dictionary app words translated and written by Dr Kiros Fre Woldu to research and learn about medical terminology, pharmaceutical drugs, healthcare equipment, health conditions, medical devices, medical abbreviations and more, in 10 languages.