A curated list of awesome learning materials, frameworks and articles. Inspired by Awesome Machine Learning and OpenMined Private-Ai-Resources.

If you want to contribute to this list (please do), contact me on slack: Karol Jezierski.
Just send me your username, full name or email address. You can as well make a pull request with your name from slack.

For help with GIT go here

1. Python
2. General Machine Learning
3. l1_deep_learn_pytorch - Deep Learning with PyTorch
4. l2_intro_diff_privacy - Introducing Differential Privacy
5. l3_eval_privacy_func - Evaluating the Privacy of a Function
6. l4_loc_glob_diff_priv - Introducing Local and Global Differential Privacy
7. l5_diff_privacy_dl - Differential Privacy for Deep Learning
8. l6_federated_learning - Federated Learning
9. l7_sec_federtd_learn - Securing Federated Learning
10. l8_encrypted_dl - Encrypted Deep Learning