A simple application that allows you to generate various copy with just a prompt. Its use ranges from summarizing long text, answering questions, completing thoughts and writing articles. The tool is powered completed by OpenAI's GPT-3 algorithm.
This question does not exist. This is what happens when you train a language model on a data dump of Stack Overflow. Click "Fresh Question" to load a new one. Share the permalink if you find an interesting one!
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
Machine learning models are only as good as the datasets they’re trained on, yet it’s extremely difficult to improve dataset quality. Aquarium uses deep learning to find problems in your model performance and edit your dataset to fix these problems.
Boon AI converts complex machine learning integration processes into one that's agile and flexible—like software development. Build an ML pipeline in an hour and start automating your media management tasks using an ecosystem of pre-trained ML APIs.
Running an ML model reliably and successfully in production is a whole set of challenges. It can be hard to measure if your team is doing enough. Take this quiz, based on Google's ML Test Score, to evaluate how you are doing and how to improve.
QuickAI is a Python library that makes it extremely easy to experiment with state-of-the-art Machine Learning models. QuickAI can reduce what would take tens of lines of code into 1-2 lines. This makes fast experimentation very easy and clean.
Efemarai is a visual, 3D machine learning debugger that allows you to inspect your models as they train or make predictions. You can visualize models and data in 3D, step through your code to find issues and understand why your model is behaving the way it is.
ZIR AI allows organizations to add ML-powered text search to their applications and platforms. Applying the latest research in neural networks and NLP, it returns results that keyword search misses, helping your customers find more relevant information.
Optimizing ML models is not easy. Understanding and setting up different compilers, runtimes and process the models correctly for acceleration, is HARD! voltaML helps ML/DL teams accelerate their models by upto 10X using our easy low-code/no-code platform.