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GrokStyle Inc.
- San Francisco, CA
- http://www.cs.cornell.edu/~sbell/
Stars
📘 The interactive computing suite for you! ✨
Image augmentation for machine learning experiments.
Code and data for Shading Annotations in the Wild
Training Very Deep Neural Networks Without Skip-Connections
Distributed reader-writer lock (rwlock) for python using redis
Code and data for paper "Deep Photo Style Transfer": https://arxiv.org/abs/1703.07511
Git pre-commit hook to check Python code quality with pylint. You can use this hook to prohibit Python code with a bad syntax to be checked in.
Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods for generic non-metric spaces.
Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).
The most cited deep learning papers
A benchmark framework for concurrent queue implementations
NVIDIA / caffe
Forked from BVLC/caffeCaffe: a fast open framework for deep learning.
Python cffi libjpeg-turbo bindings and helper classes
The most advanced browser fingerprinting library.
Deep Learning API and Server in C++14 support for PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE
An Open Source Machine Learning Framework for Everyone
Caffe2 is a lightweight, modular, and scalable deep learning framework.
Torch implementation of ResNet from http://arxiv.org/abs/1512.03385 and training scripts
Deep Networks with Stochastic Depth
🔮 Scalable reverse image search built on Kubernetes and Elasticsearch
Generate image analogies using neural matching and blending.
C++ implementation of hamming distance algorithm HmSearch using Kyoto Cabinet
Intel® Nervana™ reference deep learning framework committed to best performance on all hardware