This is a roadmap for all the repositories under my github, and is updated continuously.
- Recommendation System: https://github.com/diavy/recommendation-system
- Matchine Learning: https://github.com/diavy/machine-learning
- NLP: https://github.com/diavy/natural-language-processing
- 机器学习、NLP面试中常考到的知识点和代码实现: https://github.com/diavy/ML-NLP
- Tensorflow Implementation for common NLP models: https://github.com/diavy/NLP-Models-Tensorflow
- All kinds of Deep Text Classification models: https://github.com/diavy/text_classification
- NLP Tutorial for Deep Learning(Pytorch and Tensorflow 2.0): https://github.com/diavy/nlp-tutorial
- 李航统计学习方法(第一版): https://github.com/diavy/lihang-code
- Hands-on Machine Learning with Scikit-Learn and TensorFlow: https://github.com/diavy/handson-ml
- Dive Into Deep Learning (PyTorch): https://github.com/diavy/d2l-pytorch
- A Concise Handbook of TensorFlow 2.0: https://github.com/diavy/tensorflow-handbook
- Deep Learning Cookbook: https://github.com/diavy/deep_learning_cookbook
- Deep Learning with Python: https://github.com/diavy/deep-learning-with-python-notebooks
- Andrew Ng Deep Learning: https://github.com/diavy/Coursera-Deep-Learning-deeplearning.ai
- Coursera HSE-AML NLP course: https://github.com/diavy/hse-natural-language-processing
- Andrew Ng Machine Learning:https://github.com/diavy/ml-coursera-python-assignments
- Stanford CS-224N: https://github.com/diavy/CS224N-2019
- Google Cloud Tensorflow course: https://github.com/diavy/tensorflow-without-a-phd
-
2009 Google Summer of Codes:
-
PhD Twitter & Science study: https://github.com/diavy/twitter-science
-
2013 D4D mobile call data challenge: https://github.com/diavy/D4D_mobile
-
Patient Sentiment project: