yang-zhang's Stars
pytorch/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
MunGell/awesome-for-beginners
A list of awesome beginners-friendly projects.
keras-team/keras
Deep Learning for humans
BVLC/caffe
Caffe: a fast open framework for deep learning.
ZuzooVn/machine-learning-for-software-engineers
A complete daily plan for studying to become a machine learning engineer.
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.
CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
lllyasviel/style2paints
sketch + style = paints :art: (TOG2018/SIGGRAPH2018ASIA)
NVIDIA/nvidia-docker
Build and run Docker containers leveraging NVIDIA GPUs
dunovank/jupyter-themes
Custom Jupyter Notebook Themes
joelgrus/data-science-from-scratch
code for Data Science From Scratch book
lazyprogrammer/machine_learning_examples
A collection of machine learning examples and tutorials.
pypa/sampleproject
A sample project that exists for PyPUG's "Tutorial on Packaging and Distributing Projects"
udacity/deep-learning
Repo for the Deep Learning Nanodegree Foundations program.
Lasagne/Lasagne
Lightweight library to build and train neural networks in Theano
Kaggle/docker-python
Kaggle Python docker image
bslatkin/effectivepython
Effective Python: Second Edition — Source Code and Errata for the Book
dmlc/mxnet-notebooks
Notebooks for MXNet
mjhea0/sublime-setup-for-python
setting up sublime text for python development
Jing--Li/book
book
allenai/aristo-mini
Aristo mini is a light-weight question answering system that can quickly evaluate Aristo science questions with an evaluation web server and the provided baseline solvers.
Volodymyrk/stats-testing-in-python
collection of ipython notebooks for "How to Analyse an Online Experiment in Python" tutorial
hawkular/hawkular-datamining
Real-time time series prediction library with standalone server
thomasballinger/talkingtoothercomputers
yang-zhang/deep-learning
Deep Learning demos and experiments.
ComputationalHealth/odsceast17
harshasrinivas/pypi-check
PyPI module name availability checker
yang-zhang/deep-learning-box
Build a deep learning box and setup software
yang-zhang/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
yang-zhang/docker-setup
Docker images and setup instructions.