christopher-uq's Stars
Asabeneh/30-Days-Of-Python
30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
donnemartin/data-science-ipython-notebooks
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.
jakevdp/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
numpy/numpy
The fundamental package for scientific computing with Python.
tensorflow/tensorflow
An Open Source Machine Learning Framework for Everyone
pytorch/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
NVIDIA/cuda-samples
Samples for CUDA Developers which demonstrates features in CUDA Toolkit
qosf/qml-mooc
Lecture notebooks and coding assignments for the quantum machine learning MOOC created by Peter Wittek on EdX in the Spring 2019
dibgerge/ml-coursera-python-assignments
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
susilvaalmeida/machine-learning-andrew-ng
Implementations in python of methods and programming assignments of course Machine Learning of Coursera by Andrew Ng
gdtk-uq/gdtk
The Gas Dynamics Toolkit (GDTk) is a set of software tools for simulating high speed fluid flow, maintained at The University of Queensland and the University of Southern Queensland, Australia.
lukepolson/youtube_channel
Notebooks for the python tutorials of my youtube channel. See specific youtube video for link to specifc notebook.