Apress / Monetizing Machine Learning
Licence: other
Source code for 'Monetizing Machine Learning' by Manuel Amunategui and Mehdi Roopaei
Stars: ✭ 110
Labels
Projects that are alternatives of or similar to Monetizing Machine Learning
Hass Data Detective
Explore and analyse your Home Assistant data
Stars: ✭ 109 (-0.91%)
Mutual labels: jupyter-notebook
Spark R Notebooks
R on Apache Spark (SparkR) tutorials for Big Data analysis and Machine Learning as IPython / Jupyter notebooks
Stars: ✭ 109 (-0.91%)
Mutual labels: jupyter-notebook
Sklearn
Data & Code associated with my tutorial on the sci-kit learn machine learning library in python
Stars: ✭ 110 (+0%)
Mutual labels: jupyter-notebook
Deeplearning.ai Convolutional Neural Networks
Completed assignment jupyter notebook of Foundations of Convolutional Neural Networks, deeplearning.ai coursera course
Stars: ✭ 109 (-0.91%)
Mutual labels: jupyter-notebook
Mtcnn
MTCNN face detection implementation for TensorFlow, as a PIP package.
Stars: ✭ 1,689 (+1435.45%)
Mutual labels: jupyter-notebook
Credit score
data from the kaggle 'give me some credit" competition
Stars: ✭ 109 (-0.91%)
Mutual labels: jupyter-notebook
Leetcode Course
A guide to crushing tech interviews.
Stars: ✭ 110 (+0%)
Mutual labels: jupyter-notebook
Nb pdf template
A more accurate representation of jupyter notebooks when converting to pdfs.
Stars: ✭ 109 (-0.91%)
Mutual labels: jupyter-notebook
Alexnet Experiments Keras
Code examples for training AlexNet using Keras and Theano
Stars: ✭ 109 (-0.91%)
Mutual labels: jupyter-notebook
Kubeflowdojo
Repository to hold code, instructions, demos and pointers to presentation assets for Kubeflow Dojo
Stars: ✭ 110 (+0%)
Mutual labels: jupyter-notebook
Hgn
Hierarchical Gating Networks for Sequential Recommendation
Stars: ✭ 110 (+0%)
Mutual labels: jupyter-notebook
Histbook
Versatile, high-performance histogram toolkit for Numpy.
Stars: ✭ 109 (-0.91%)
Mutual labels: jupyter-notebook
Google Images Dataset
This repository provides the necessary code to create your own Google Images Dataset.
Stars: ✭ 110 (+0%)
Mutual labels: jupyter-notebook
Nvidia Gpu Tensor Core Accelerator Pytorch Opencv
A complete machine vision container that includes Jupyter notebooks with built-in code hinting, Anaconda, CUDA-X, TensorRT inference accelerator for Tensor cores, CuPy (GPU drop in replacement for Numpy), PyTorch, TF2, Tensorboard, and OpenCV for accelerated workloads on NVIDIA Tensor cores and GPUs.
Stars: ✭ 110 (+0%)
Mutual labels: jupyter-notebook
Apress Source Code
This repository accompanies Monetizing Machine Learning by Manuel Amunategui and Mehdi Roopaei (Apress, 2018).
Download the files as a zip using the green button, or clone the repository to your machine using Git.
Releases
Release v1.0 corresponds to the code in the published book, without corrections or updates.
Contributions
See the file Contributing.md for more information on how you can contribute to this repository.
Note that the project description data, including the texts, logos, images, and/or trademarks,
for each open source project belongs to its rightful owner.
If you wish to add or remove any projects, please contact us at [email protected].