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mathematics_dataset

mixmatch

ml-lessons

Intro to deep learning for medical imaging lesson, by MD.ai

ml-tutorial-experiment

Coding the Machine Learning Tutorial for Learning to Learn

mlalgorithms

Minimal and clean examples of machine learning algorithms

mmdetection

Open MMLab Detection Toolbox

mrp-system

ngraph-bridge

TensorFlow-nGraph bridge

niftynet

An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

nlp_tasks

Natural Language Processing Tasks and References

numpy-ml

Machine learning, in numpy

objectdetection_and_segmentation

object detection models and tools

ochumanapi

API for the dataset proposed in "Pose2Seg: Detection Free Human Instance Segmentation" @ CVPR2019.

ogl

opencv

Open Source Computer Vision Library

opengl

opengl_3_3_tutorial_translation

Tutorials for OpenGL 3.3 and later

openmvg

open Multiple View Geometry library. Basis for 3D computer vision and Structure from Motion.

optuna

A hyperparameter optimization framework

paddleocr

Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)

papers-books

pdarts

Codes for our paper "Progressive Differentiable Architecture Search:Bridging the Depth Gap between Search and Evaluation"

physics-based-deep-learning

Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond

pnn.pytorch.update

This repo houses the new PNN code, along with our responses to the issue raised in the recent Reddit discussion. The code is based on Michael Klachko’s repo with slight modification in model.py and main.py. All changes are marked.

poolnet

Code for our CVPR 2019 paper "A Simple Pooling-Based Design for Real-Time Salient Object Detection"

privacy

Library for training machine learning models with privacy for training data

prml

PRML algorithms implemented in Python

production-level-deep-learning

A guideline for building practical production-level deep learning systems to be deployed in real world applications.

progressive_growing_of_gans

Progressive Growing of GANs for Improved Quality, Stability, and Variation

python

All Algorithms implemented in Python