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NEC Labs America
- Princeton, NJ
Stars
Optical Neural Networks on PyTorch. diffractive propagation, nonlinear-photonic-activation
Optimization framework developed in Pytorch, allowing calibration, and joint optimization of optics and deep learning models.
Implementation of the Regularized Nonlinear Acceleration algorithm
Mathematical Modeling for Optimization and Machine Learning
Vectorizable implementations of some mathematical functions
Parallel Suffix Array, LCP Array, and Suffix Tree Construction
A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends
Adding the Intel MKL to a Debian / Ubuntu system via one simple script
Fast Deep Learning Library (DLL) for C++ (ANNs, CNNs, RBMs, DBNs...)
Open deep learning compiler stack for cpu, gpu and specialized accelerators
A code generator for array-based code on CPUs and GPUs
NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.
code for steinGAN - Learning to Draw Samples: With Application to Amortized MLE for Generative Adversarial Learning
code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"
A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
Python bindings for VE Offloading (VEO) for SX-Aurora Vector Engine
SX-Aurora TSUBASA Vector Engine Offloading (VEO)
Lightweight Lua-based IDE for Lua with code completion, syntax highlighting, live coding, remote debugger, and code analyzer; supports Lua 5.1, 5.2, 5.3, 5.4, LuaJIT and other Lua interpreters on W…
Part of the code for the paper Practical Hash Functions for Similarity Estimation and Dimensionality Reduction at NIPS'17
Some near drop in stl compatible hash tables that are a lot more space efficient than any other options.
necla-ml / gen-dnn
Forked from oneapi-src/oneDNNA port of Intel(R) MKL-DNN for a non-JIT chip (NEC SX)