eecs-498-2020. EECS 498/598: Deep Learning for Computer Vision [Fall 2020]
6cs224n-nlp-dl-2019. CS224n: Natural Language Processing with Deep Learning, Winter 2019.
5image_captioning. This is a tutorial on reproducing "Show, attend and tell" by Xu et al., 2016.
4PH526x_python_research. Jupyter Notebook
4cs108. Stanford University. Object Oriented System Design. Winter 2015.
3cs188_ai. Python
2cs224n-nlp-dl. cs224n Natural Language Processing with Deep Learning, Stanford University, Winter 2018
2learnpandas.
26.005_fall2016. MIT 6.005. Software Construction. Fall 2016.
2ud120-machine-learning. ud120. Udacity. Machine learning.
2cs230-deep-learning. CS230 Deep Learning, Stanford University, Spring 2018
2tv_script_gen. Jupyter Notebook
1cs234_reinf_learning. Python
1dog_breed. Jupyter Notebook
1cs230_project_keras. Jupyter Notebook
1cs230_project_xray. Jupyter Notebook
1facial_keypoints. Jupyter Notebook
1cs230_project. Jupyter Notebook
1dl_projects_2020. Jupyter Notebook
1_notes. Roff
1face_generation. Jupyter Notebook
1coco_captioning. Jupyter Notebook
1fastai_v3. Jupyter Notebook
1cs231n-convolutional-nn. Stanford University. CS231n Convolutional Neural Networks for Visual Recognition, Winter 2016.
1cs50_2017. cs50 Harvard university, winter 2017 (only python and javascript)
1cs231n-convolutional-nn-2018. Stanford University. CS231n Convolutional Neural Networks for Visual Recognition, Spring 2018.
1modernpython. Raymond Hettinger. Modern Python LiveLessons: Big Ideas and Little Code in Python.
1scala_coursera. Scala
1cs229-machine-learning. CS229 Machine Learning, Stanford University, Fall 2008, 2017
1cs261-advanced-algorithms. cs261 Second course in algorithms, Stanford University, Winter 2016
110-600-math-for-ml. CMU 10-600 Math Background for ML Fall 2016
1data-science-from-scratch. Python
1Portfel. Projects 7-8 (Capstone) from Udacity nanodegree.
1deep-learning-coursera-ng. Stanford University, Andrew Ng. Deep Learning, Fall 2017.
1PopMovies. Projects1-2 from Udacity nanodegree
1cs230-dl-v2. cs230 Deep Learning, Stanford (CNNs and RNNs), version 2
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