MorvanZhou/tutorials

• Emerald I

The fundamental package for scientific computing with Python.

• 1,876−14 Elo, change today
• 33.3k stars
• 13k forks
• 606 watchers
• 2h ago

brew install numpy

• numpy
• python

• Bronze II

中文 Python 笔记

• 1,406±0 Elo, change today
• 7.1k stars
• 2.8k forks
• 6y ago

git clone https://github.com/lijin-THU/notes-python.git

• anaconda
• matplotlib
• numpy
• python

• Silver I

Convert Machine Learning Code Between Frameworks

• 1,516−7 Elo, change today
• 14.1k stars
• 5.4k forks
• 5d ago

git clone https://github.com/unifyai/ivy.git

• jax
• numpy
• python
• pytorch

• Platinum III

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

• 1,693−9 Elo, change today
• 29.3k stars
• 7.9k forks
• 1.5k watchers
• 2y ago

git clone https://github.com/donnemartin/data-science-ipython-notebooks.git

• aws
• big-data
• caffe
• data-science

• Bronze V

TensorFlow tutorials and best practices.

• 1,362−1 Elo, change today
• 8.5k stars
• 875 forks
• 6y ago

git clone https://github.com/vahidk/EffectiveTensorflow.git

• deep-learning
• ebook
• machine-learning
• neural-network

• Diamond I

Tensors and Dynamic neural networks in Python with strong GPU acceleration

• 2,114+4 Elo, change today
• 105k stars
• 30.7k forks
• 1.8k watchers
• 42m ago

brew install pytorch

• autograd
• deep-learning
• gpu
• machine-learning