Real-Time Object Recognition App with Tensorflow and OpenCV
shell scripts to install different version of OpenCV in different distributions of Linux
Listing of useful learning resources for machine learning applications in high energy physics (HEPML)
Algorithmic trading with deep learning experiments
Run Keras models in the browser, with GPU support
Deep learning driven jazz generation using Keras & Theano!
A composable Generative Adversarial Network(GAN) with API and command line tool.
Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
Repository for the Morphing Faces demo
Jupyter Dashboards Layout Extension
Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.
CatBoost is an open-source gradient boosting on decision trees library with categorical features support out of the box for Python, R
This repository contains the source code for the semantic image segmentation method described in the ICCV 2015 paper: Conditional Random Fields as Recurrent Neural Networks. http://crfasrnn.torr.vision/
MLHEP 2017 slides & seminars
Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
Tutorials and implementations for "Self-normalizing networks"
Machine Learning in High Energy Physics 2016
Generative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation
Training, generation, and analysis code for Learning Particle Physics by Example: Location-Aware Generative Adversarial Networks for Physics
A curated list of awesome Machine Learning frameworks, libraries and software.
A curated list of awesome Deep Learning tutorials, projects and communities.