Machine Learning Weekly is a newsletter with over 8,000 subscribers about machine learning and deep learning, curated in spare time by @alirezasmr to accelerate research.
Comet.ml allows machine learning teams to automatically track their machine learning code, experiments, hyperparameters and results. It works from every computer, whether it’s your laptop or a your favorite cloud provider.
Best of Machine Learning is a collection of helpful resources when it comes to learning and staying updated on all things related to Machine Learning. The open-source project is open for Pull Requests and was recently featured on the HackerNews frontpage.
A demo inspired by the Tensorflow playground, but a bit broader in depth and with more customization.
Believe it or not, there was a period of time where not everything in Machine Learning was Deep Learning - and this site covers a good amount of traditional methods that are still quite relevant today.
Feedback is welcome!
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
Introducing a new way to interact with machine learning. Our brand new interactive dashboard makes our three step approach to ML even simpler. Just upload your data, build a model, and retrieve your results.
Gradient allows you to create, train, and use machine learning models with the full power of TensorFlow API on .NET
- Train and run models on any hardware platform
- Use distributed training features
- Track your progress with Tensorboard
- Use C#