Kyubyong / numpy_exercises
Numpy exercises.
☆1,717Updated last year
Alternatives and similar repositories for numpy_exercises:
Users that are interested in numpy_exercises are comparing it to the libraries listed below
- TensorFlow Exercises - focusing on the comparison with NumPy.☆535Updated 5 years ago
- Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"☆2,798Updated 4 years ago
- A collection of IPython notebooks covering various topics.☆2,613Updated 4 years ago
- Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way☆1,451Updated 7 years ago
- TensorFlow Tutorials☆2,601Updated 5 years ago
- Tutorial material on the scientific Python ecosystem☆3,138Updated last week
- I took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because I love jupyter…☆2,036Updated 6 years ago
- An open-access book on numpy vectorization techniques, Nicolas P. Rougier, 2017☆2,084Updated this week
- Materials for my scikit-learn tutorial☆1,790Updated 2 years ago
- Practical tutorials and labs for TensorFlow used by Nvidia, FFN, CNN, RNN, Kaggle, AE☆1,952Updated 8 years ago
- Introduction to Deep Neural Networks with Keras and Tensorflow☆2,959Updated last year
- Python coded examples and documentation of machine learning algorithms.☆612Updated 4 years ago
- Anatomy of Matplotlib -- tutorial developed for the SciPy conference☆1,224Updated 3 years ago
- Teaching materials for the machine learning and deep learning classes at Stanford and Cornell☆1,117Updated 4 years ago
- Course notes for CS224N Winter17☆1,591Updated 7 years ago
- Jupyter Notebooks derived from Allen Downey's book Think Bayes.☆395Updated 9 years ago
- Introduction to Statistics using Python☆904Updated 4 years ago
- Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library☆3,251Updated last year
- Deep Learning Tutorials for 10 Weeks☆421Updated 7 years ago
- An intuitive library to add plotting functionality to scikit-learn objects.☆2,433Updated 8 months ago
- Materials for my Pycon 2015 scikit-learn tutorial.☆896Updated 4 years ago
- Scikit-Learn tutorial material for Scipy 2015☆575Updated 9 years ago
- Tutorials on how to use pandas effectively to do data analysis☆1,107Updated 2 years ago
- Source code for my collection of articles on using pandas.☆1,554Updated 2 years ago
- use numpy, scipy, and tensorflow to implement these basic ML model and learning algorithm☆922Updated 6 years ago
- Simple tutorials using Keras Framework☆267Updated 8 years ago
- A searchable compilation of Kaggle past solutions☆1,495Updated 5 years ago
- IPython notebooks on Gilbert Strang's MIT course on linear algebra (18.06)☆556Updated last year
- Bare bones introduction to machine learning from linear regression to convolutional neural networks using Theano.☆1,289Updated 9 years ago
- 100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)☆2,689Updated 9 months ago