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awesome-deep-learning-papers

The most cited deep learning papers

awesome-deep-vision

A curated list of deep learning resources for computer vision

awesome-face

😎 face releated algorithm, dataset and paper

awesome-face-detection

Compare with various detectors - dlib, ocv, ocv-dnn, mtcnn-pytorch, face_recognition

awesome-face_recognition

papers about Face Detection; Face Alignment; Face Recognition && Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution && Face Deblurring; Face Generation && Face Synthesis; Face Transfer; Face Anti-Spoofing; Face Retrieval;

awesome-gans

Awesome Generative Adversarial Networks with tensorflow

awesome-hand-pose-estimation

Awesome work on hand pose estimation/tracking

awesome-image-classification

A curated list of deep learning image classification papers and codes

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-motion-planning

A curated list of Resources for Motion Planning

awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

awesome-python-applications

💿 Free software that works great, and also happens to be open-source Python.

awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

awesome-tensorflow

TensorFlow - A curated list of dedicated resources http://tensorflow.org

bapp

biased_boundary_attack_avc

Implementation of the Biased Boundary Attack for the NeurIPS 2018 Adversarial Vision Challenge

black-box-attacks

Comparison of gradient estimation techniques for black-box adversarial examples

blackbox-attack

Blackbox attacks for deep neural network models

blackbox-attacks

Code used in 'Exploring the Space of Black-box Attacks on Deep Neural Networks' (https://arxiv.org/abs/1712.09491)

boundary-attack

Implementation of the Boundary Attack algorithm as described in Brendel, Wieland, Jonas Rauber, and Matthias Bethge. "Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models." arXiv preprint arXiv:1712.04248 (2017).

caffe

Caffe: a fast open framework for deep learning.

caffe-mobile

Optimized (for size and speed) Caffe lib for iOS and Android with demo APP.

caffe-segnet

Implementation of SegNet: A Deep Convolutional Encoder-Decoder Architecture for Semantic Pixel-Wise Labelling

caffe-tensorflow

Caffe models in TensorFlow

caffe2

Caffe2 is a lightweight, modular, and scalable deep learning framework.

casadi

CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.

catch

A modern, C++-native, header-only, framework for unit-tests, TDD and BDD

cfnet

(CVPR'17) Training a Correlation Filter end-to-end allows lightweight networks of 2 layers (600 kB) to achieve state-of-the-art performance in tracking, at high-speed.

cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

clm-framework

CLM-framework (a.k.a Cambridge Face Tracker) is a framework for various Constrained Local Model based face tracking and landmark detection algorithms and their extensions/applications. Includes CLM-Z and CLNF.