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mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

nccl

Optimized primitives for collective multi-GPU communication

nccl-fastsocket

NCCL Fast Socket is a transport layer plugin to improve NCCL collective communication performance on Google Cloud.

nnabla

Neural Network Libraries

numpy

Numpy main repository

openpoweraisystemperformancebench

pg-storm

PG-Strom - Master development repository

pocketflow

An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.

powerai

This repo contains ancillary information used to assist users of IBM Watson Machine Learning Community Edition. This repo will contain How To's, Readme's, Dockerfiles, etc. that can be consumed by users looking to get started.

pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

pspnet

Pyramid Scene Parsing Network, CVPR2017.

pt-yhx

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-3dunet

3D U-Net model for volumetric semantic segmentation written in pytorch

pytorch-deeplab-xception

DeepLab v3+ model in PyTorch. Support different backbones.

pytorch-large-model-support

Large Model Support in PyTorch

pytorch_classifiers

Almost any Image classification problem using pytorch

pytorchmedicalai

This is the hands-on deep learning tutorial series for the 2018/2019 Medical AI course by DeepOncology AI.

resnet-imagenet-caffe

train resnet on imagenet from scratch with caffe

resnet50v1.5_tf-sep_10-ngc

scikit-image

Image processing in Python

sgemm_cuda

Fast CUDA matrix multiplication from scratch

stockdataanalysis

stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

tensorflow

An Open Source Machine Learning Framework for Everyone

tensorflow-cpp-op-example

Simple example of implementing a new Tensorflow operation and its gradient in C++.

tensorflow_cookbook

Code for Tensorflow Machine Learning Cookbook

tf_cnnvis

CNN visualization tool in TensorFlow

the-twitter-algorithm

Source code for Twitter's Recommendation Algorithm

training

Reference implementations of training benchmarks

tushare

TuShare is a utility for crawling historical data of China stocks