D2Go is a toolkit for efficient deep learning

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

The Python programming language

Some handy utility libraries and tools for the Caffe deep learning framework.

Self-brewed Caffe: add batch normalization (BN) and multiple GPUs parallel computation.

Torch implementation of ResNet from http://arxiv.org/abs/1512.03385 and training scripts

Implementation of a classification framework from the paper Aggregated Residual Transformations for Deep Neural Networks

Dense image captioning in Torch

The HTML Presentation Framework

This repository provides the baseline codes for the PRW (Person Re-identification in the Wild) dataset.

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

Sublinear memory optimization for deep learning, reduce GPU memory cost to train deeper nets

Fork of Alex Krizhevsky's cuda-convnet. Adds dropout.