steven-pp Goto Github PK

act-tensorflow

Adaptive Computation Time algorithm in Tensorflow

autoformer

About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008

carnd-semantic-segmentation

cgm-remote-monitor

nightscout web monitor

clarkeerrorgrid

This has the function for the Clarke Error Grid

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

cs231n.github.io

Public facing notes page

daily

deep-learning-books

Books for machine learning, deep learning, math, NLP, CV, RL, etc. 一些机器学习、深度学习等相关话题的书籍。

deep-learning-with-tensorflow-book

深度学习开源书，基于TensorFlow 2.0实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

deeplab_v3

Tensorflow Implementation of the Semantic Segmentation DeepLab_V3 CNN

dexcom_reader

far-ho

Gradient based hyperparameter optimization & meta-learning package for TensorFlow

hmsapi

hmsvue

influxdb

Scalable datastore for metrics, events, and real-time analytics

influxdb-client-csharp

InfluxDB 2.0 C# Client

influxdb-client-java

InfluxDB 2 JVM Based Clients

influxdb-java

Java client for InfluxDB

influxdb-python

Python client for InfluxDB

informer2020

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

lwbledemo

有关OC的蓝牙Demo

models

Models and examples built with TensorFlow

pspnet-tensorflow

An implementation of PSPNet in tensorflow, see tutorial at:

rbf_keras

RBF layer for Keras

tensorflow-2.x-tutorials

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。

tensorflow-enet

TensorFlow implementation of ENet

tensorflow2_tutorials_chinese

tensorflow2中文教程，持续更新(当前版本:tensorflow2.0)，tag: tensorflow 2.0 tutorials

tensorflow_notes

Tensorflow notes

tsfpaper

This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model.