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applied-deep-learning

Source Code for 'Applied Deep Learning' by Umberto Michelucci

art-dcgan

Modified implementation of DCGAN focused on generative art. Includes pre-trained models for landscapes, nude-portraits, and others.

butteraugli

butteraugli estimates the psychovisual difference between two images

caffe

Caffe: a fast open framework for deep learning.

caffe-3dnormal

surface normal estimation (CVPR 2015)

cntk

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

darts

A python library for user-friendly forecasting and anomaly detection on time series.

deeplearnjs

A hardware-accelerated machine intelligence library for the web.

depthprediction

A tool to predict the depth field of a 2-dimensional image

dseg

Invariant Superpixel Features for Object Detection

everything

An index of all our open-source data, analysis, libraries, tools, and guides.

fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

free-algorithm-books-1

fusenet

This repository is the official release of the code for the following paper "FuseNet: Incorporating Depth into Semantic Segmentation via Fusion-based CNN Architecture" which is published at the 13th Asian Conference on Computer Vision (ACCV 2016).

gephi-workshop

Scrape your Facebook friends and visualise them with Gephi

hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

indoorunderstanding_3dgp

The code implement the method described in the 3DGP paper published in CVPR13 (see README for full title).

introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

keras

Deep Learning for humans

keras-resnet

Residual networks implementation using Keras-1.0 functional API

kmodes

Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data

learning-to-see-in-the-dark

Learning to See in the Dark. CVPR 2018

lectures-labs

Slides and Jupyter notebooks for the Deep Learning lectures at M2 Data Science Université Paris Saclay

lf-tracking

lf-tracking-ipad

librealsense

Intel® RealSense™ SDK

lyssandra

A collection of Python tools for feature extraction and image classification using Sparse Coding algorithms.

machine-learning

Experiments, algorithms and reports in machine learning reseach.

matconvnet-calvin

Code for several state-of-the-art papers in object detection and semantic segmentation.

ml-coursera-python-assignments

Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.