Stars
Chapter programs/snippets and Solutions to Challenges
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"
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,…
Jupyter Notebooks and code for Derivatives Analytics with Python (Wiley Finance) by Yves Hilpisch.
The interactive ROOT Primer based on Jupyter notebooks
A collection of IJulia notebooks related to optimization
IPython kernel for Torch with visualization and plotting
Interactive Data Visualization in the browser, from Python
Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.…
scikit-learn: machine learning in Python
A curated list of deep learning resources for computer vision
Recurrent Neural Network - A curated list of resources dedicated to RNN
A curated list of awesome Deep Learning tutorials, projects and communities.
A curated list of awesome Machine Learning frameworks, libraries and software.
tutorial for sentiment analysis on Twitter data using Python
a curated list of R tutorials for Data Science, NLP and Machine Learning
machine learning and deep learning tutorials, articles and other resources
A list of popular github projects related to deep learning
Deep learning library featuring a higher-level API for TensorFlow.
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Official repository of Jim Tcl, an open-source, small footprint implementation of Tcl
modified QuantLib-SWIG that works with QuantLib-noBoost