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namas

Neural Attention Model for Abstractive Summarization

namedtensor

Proof of concept for a dynamic named tensor for pytorch

nano-neuron

🤖 NanoNeuron is 7 simple JavaScript functions that will give you a feeling of how machines can actually "learn"

nanogpt

The simplest, fastest repository for training/finetuning medium-sized GPTs.

narrativeqa

nas-without-training

Neural Architecture Search Without Training

natural-adv-examples

A Harder ImageNet Test Set

natural-language-object-retrieval

Code release for Hu et al. Natural Language Object Retrieval, in CVPR, 2016

natural-language-summary-generation-from-structured-data

Implementation of the paper -> https://arxiv.org/abs/1709.00155. For converting information present in the form of structured data into natural language text

naturalstories

Corpus of naturalistic stories with annotation and psycholinguistic measures

nba-motion

nccl

Optimized primitives for collective multi-GPU communication

nce-cnn-torch

Noise-Contrastive Estimation for Question Answering with Convolutional Neural Networks (Rao et al. CIKM 2016)

ncf

A pytorch implementation of He et al. "Neural Collaborative Filtering" at WWW'17

ncrf

Cancer metastasis detection with neural conditional random field (NCRF)

ncsdk

Software Development Kit for the Neural Compute Stick

ncsn

Noise Conditional Score Networks

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nea

Neural Essay Assessor: An Automated Essay Scoring System Based on Deep Neural Networks

nearest_neighbour

Golang implementation of k-NN algorithm (for k = 1)

nearpy

Python framework for fast (approximated) nearest neighbour search in large, high-dimensional data sets using different locality-sensitive hashes.

neat-python

Python implementation of the NEAT neuroevolution algorithm

nemo

Neural Modules: a toolkit for conversational AI

neo

comma neo research platform

neon

Nervana's python based Deep Learning Framework

neorv32

A size-optimized, customizable full-scale 32-bit RISC-V soft-core CPU and SoC written in platform-independent VHDL.

ner-lstm

Named Entity Recognition using multilayered bidirectional LSTM

nerf2d

Adding positional encoding to the input preserves sharp edges in the image

nervenet

nestedsmc

Implementation of various algorithms in the Nested Sequential Monte Carlo family of methods.