- Guides are step by step, in depth tutorials and blogs on machine learning topics.
- They aim to help people who are new, intermediate or even experts.
- Completely open-source free, written by community and maintained by community.
We are looking for interesting colab notebooks(Jupyter notebooks) or scripts covering:
- In depth guides to ML/DL techniques ranging from beginner to advance level. An example.
- Innovative approaches to common Machine learning Problems. An example.
- Model benchmarking on lesser known datasets.
We are not looking for ML/DL tasks which are commonly known and applied on widely known datasets. An example would be image classification on MNIST/Cifar-10 dataset.
However, we would appreciate image classification on lesser known (interesting) dataset.
If you are working on an exciting ML/DL project, we would love to feature your work in this repo. The rules are simple:
- Create a new issue with a relevant title. Briefly describe the project you are working on in a meaningful manner. Provide links wherever necessary.
- We will review the issue and approve the idea if it meets the criteria we are looking for.
- Fork this repo.
- Create a PR with notebook(s)/script(s).
We will have some starter issues for you. For more ideas check out topics page on made with ML.