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interviews.ai

It is my belief that you the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.

jplag

JPlag - Detecting Software Plagiarism

keras

Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.

keras-resnet

Residual networks implementation using Keras-1.0 functional API

keras-sift

keras_detection

kivy-spartan

kivy-sticzinger

kivy-tensorflow-helloworld

Run inference with Tensorflow Lite on iOS, Android, MacOS, Windows and Linux using Python

kivy-tflite-helloworld

luminoth

Deep Learning toolkit for Computer Vision

machine-learning-for-software-engineers

A complete daily plan for studying to become a machine learning engineer.

mars-express-challenge

3rd place solution to the Mars Express Power Challenge hosted by the European Space Agency

model-optimization

A suite of tools that users, both novice and advanced, can use to optimize machine learning models for deployment and execution.

models

Models and examples built with TensorFlow

mrpt

Fast and lightweight header-only C++ library (with Python bindings) for approximate nearest neighbor search

multicore-tsne

Parallel t-SNE implementation with Python and Torch wrappers.

not

opencv-gpu-py

Python OpenCV GPU CascadeClassifier Wrapper

opencv_contrib

Repository for OpenCV's extra modules

pacp

Automatically exported from code.google.com/p/pacp

part2

poincare-embedding

Poincaré Embedding

practical_rl

A course in reinforcement learning in the wild

prototypical-networks-for-few-shot-learning-pytorch

Implementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch

pydegensac

Advanced RANSAC (DEGENSAC) with bells and whistles for H and F estimation

pysba

Python Implementation for Simple Bundle Adjustment

python-for-android

Turn your Python application into an Android APK

qtnproperty

Extended properties for Qt5

receptivefield

Gradient based receptive field estimation for Convolutional Neural Networks