Roman Kessler's repositories
100-Days-Of-ML-Code
100 Days of ML Coding
MIT000
practicalAI
📚 A practical approach to learning and using machine learning.
Language:Jupyter NotebookMIT000
awesome-deep-learning-papers
The most cited deep learning papers
Language:TeX000
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.
Language:PythonNOASSERTION000
keras
Deep Learning for humans
Language:PythonNOASSERTION000
sCCA
sparse Canonical Correlation Analysis
Language:HTML000
DCM-Manual
manual describing dynamic causal modeling with tutorial scripts and data
Language:Python000