Stars
CUDA Templates and Python DSLs for High-Performance Linear Algebra
Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch
Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)
Phase-Functioned Neural Networks for Character Control
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Built for developers familiar with IBM Power systems that are looking to leverage IBM's new PowerAI offering for machine learning.
A static analyzer for Java, C, C++, and Objective-C
Open standard for machine learning interoperability
http://web.engr.illinois.edu/~dhoiem/projects/detectionAnalysis/
Graphical Editing Framework (GEF) project repository (gef)
Acceleration package for neural networks on multi-core CPUs
A toolkit for making real world machine learning and data analysis applications in C++
[DEPRECATED] Tensorflow wrapper for DataFrames on Apache Spark
Implements an efficient softmax approximation as described in the paper "Efficient softmax approximation for GPUs" (http://arxiv.org/abs/1609.04309)
Code for the paper "Adversarially Regularized Autoencoders (ICML 2018)" by Zhao, Kim, Zhang, Rush and LeCun
Joint Detection and Identification Feature Learning for Person Search
Accelerating network inference over video
GPUnet is a native GPU networking layer that provides a socket abstraction over Infiniband to GPU programs for NVIDIA GPUs.