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Collection of recent methods on (deep) neural network compression and acceleration.
A curated list of engineering blogs
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Gaussian process regression on GPU using CUDA & cuBLAS
Topics course Mathematics of Deep Learning, NYU, Spring 18
A curated list of awesome computer vision resources
[CVPR 2017] Video motion segmentation and tracking
bigsnarfdude / KittiBox
Forked from MarvinTeichmann/KittiBoxA car detection model implemented in Tensorflow.
Collection of papers, datasets, code and other resources for object tracking and detection using deep learning
A complete computer science study plan to become a software engineer.
Deep Networks with Stochastic Depth
3.8% and 18.3% on CIFAR-10 and CIFAR-100
Torch implementation of ResNet from http://arxiv.org/abs/1512.03385 and training scripts
This is a Torch implementation of ["Deep Residual Learning for Image Recognition",Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun](http://arxiv.org/abs/1512.03385) the winners of the 2015 ILSVRC …
Reproduction of some of the results from 'Identity Mappings in Deep Residual Networks'
A curated list of awesome Torch tutorials, projects and communities
A curated list of awesome Deep Learning tutorials, projects and communities.
Hierarchical Dirichlet processes. Topic models where the data determine the number of topics. This implements Gibbs sampling.
The dependent Dirichlet process mixture of objects (DDPMO) model for detection-free tracking and object modeling.
Summaries and notes on Deep Learning research papers
Source code for object detection with And-Or Graphs