ywchiu / Largitdata

Realistic Handwriting with Tensorflow

A Repository of Notebooks for the Python Lecture Site

Code for a workshop on statistical interference using computational methods in Python.

Project containig related material for my TensorFlow articles

Visualizations based on best open science practices.

基于深度学习的CTR预估，从FM推演各深度学习CTR预估模型（附代码）

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

A centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.

Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

just some code snippet

Optimization Examples with SigOpt

Run any standard Python code quality tool on a Jupyter Notebook

Keras Implementation of The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation by (Simon Jégou, Michal Drozdzal, David Vazquez, Adriana Romero, Yoshua Bengio)

Code snippets from Kite blog posts

python tutorial

Data, Benchmarks, and methods submitted to the M5 forecasting competition

Reference deployment of JupyterHub and nbgrader on a single server