Pinned Repositories
awesome-deep-learning-papers
The most cited deep learning papers
awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
data-science-ipython-notebooks
Recently updated with 50 new 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.
deep-reinforcement-learning-papers
A list of recent papers regarding deep reinforcement learning
deeplearning-papernotes
Summaries and notes on Deep Learning research papers
DeepLearningProjectWorkflow
Machine Learning Workflow, from Andrew Ng's lecture at Deep Learning Summer School 2016
DeepLearningTutorials
Deep Learning Tutorial notes and code. See the wiki for more info.
Delving-deep-into-GANs
A curated, quasi-exhaustive list of state-of-the-art publications and resources about Generative Adversarial Networks (GANs) and their applications.
generative-models
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
jupyter
Jupyter metapackage for installation, docs and chat
shadmiy's Repositories
shadmiy/deeplearning-papernotes
Summaries and notes on Deep Learning research papers
shadmiy/jupyter
Jupyter metapackage for installation, docs and chat
shadmiy/awesome-deep-learning-papers
The most cited deep learning papers
shadmiy/awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
shadmiy/data-science-ipython-notebooks
Recently updated with 50 new 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.
shadmiy/deep-reinforcement-learning-papers
A list of recent papers regarding deep reinforcement learning
shadmiy/DeepLearningProjectWorkflow
Machine Learning Workflow, from Andrew Ng's lecture at Deep Learning Summer School 2016
shadmiy/DeepLearningTutorials
Deep Learning Tutorial notes and code. See the wiki for more info.
shadmiy/Delving-deep-into-GANs
A curated, quasi-exhaustive list of state-of-the-art publications and resources about Generative Adversarial Networks (GANs) and their applications.
shadmiy/generative-models
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
shadmiy/machine-learning
:earth_americas: machine learning algorithms tutorials (mainly in Python3)
shadmiy/Python-for-Signal-Processing
Notebooks for "Python for Signal Processing" book
shadmiy/Python-Lectures
IPython Notebooks to learn Python
shadmiy/pythonMLyahav
shadmiy/scikit-learn
scikit-learn: machine learning in Python