wn9081 Goto Github PK

nasnet-keras

Keras implementation of NASNet-A

nccl

Optimized primitives for collective multi-GPU communication

nccl-tests

NCCL Tests

ncnncam

netron

Viewer for neural network and machine learning models

netscope

This is a CNN Analyzer tool, based on Netscope by dgschwend/netscope

neural-architecture-search

Basic implementation of [Neural Architecture Search with Reinforcement Learning](https://arxiv.org/abs/1611.01578).

neural-architecture-search-with-rl

Minimal Tensorflow implementation of the paper "Neural Architecture Search With Reinforcement Learning" presented at ICLR 2017

neural-network-genetic-algorithm

Evolving a neural network with a genetic algorithm.

neural_architecture_search_with_reinforcement_learning_appendix_a

Implementation of Appendix A (Neural Architecture Search with Reinforcement Learning: https://arxiv.org/abs/1611.01578) by chainer

neural_optimizer_search

An implementation of ICML 2017 paper <<Neural Optimizer Search with Reinforcement Learning>> https://arxiv.org/abs/1709.07417

nmt

TensorFlow Neural Machine Translation Tutorial

noteshrink

Convert scans of handwritten notes to beautiful, compact PDFs

nvidia_mixed_precision_training

Provided the latest updates of Nvidia Mixed Precision Training Updates

ocr-corrector

利用语言模型，纠正OCR识别错误

ocreval

Update of the ISRI Analytic Tools for OCR Evaluation with UTF-8 support

offline-netscope

ofxmsatensorflow

openframeworks addon + examples for Google's TensorFlow numerical computation and machine learning library

paddleocr

Awesome OCR toolkits based on PaddlePaddle （8.6M ultra-lightweight pre-trained model, support training and deployment among server, mobile, embeded and IoT devices）

piq

Measures and metrics for image2image tasks. PyTorch.

pl4nn

Perceptual Losses for Neural Networks: Caffe implementation of loss layers based on perceptual image quality metrics.

populationbasedtraining

An implementation of population-based training of neural networks for TensorFlow.

probreg

Python package for point cloud registration using probabilistic model (Coherent Point Drift, GMMReg, SVR, GMMTree, FilterReg, Bayesian CPD)

progressive-neural-architecture-search

Implementation of Progressive Neural Architecture Search in Keras and Tensorflow

project

Incremental Network Quantization, Kmeans quantization, Iterative Pruning, Dynamic Network Surgery

pumpkin-book

《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book

pycorrector

pycorrector is a toolkit for text error correction. It was developed to facilitate the designing, comparing, and sharing of deep text error correction models.

pycpd

Pure Numpy Implementation of the Coherent Point Drift Algorithm

pydeep

Pure Python/Numpy Deep Learning Library

pysnooper

Never use print for debugging again