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hosthunter

HostHunter a recon tool for discovering hostnames using OSINT techniques.

how-to-learn-robotics

开源机器人学学习指南

how_to_deploy_a_keras_model_to_production

This is the code for the "How to Deploy a Keras Model to Production" by Siraj Raval on Youtube

how_to_do_math_for_deep_learning

This is the code for "How to Do Math Easily - Intro to Deep Learning #4' by Siraj Raval on YouTube

hownet

客户端

hsi-sppf

HSI classification with SPPF

hsr

Hand signals recognition using Convolutional Neural Network implemented in TensorFlow

htk_io

Read and write HTK and HTS files from python.

htseq-toolbox

Tools for short read high-throughut sequencing (a.k.a. 'next-gen sequencing')

huawei-sxjm

2019 --“华为杯”第十六届**研究生数学建模竞赛--汽车行驶工况构建项目开源

hub

A library for transfer learning by reusing parts of TensorFlow models.

hubot

A customizable life embetterment robot.

human-activity-recognition-using-cnn

CNN for Human Activity Recognition in Tensorflow

human-pose-estimation

This repository implements a demo of the Human pose estimation via Convolutional Part Heatmap Regression paper.

humanorrobot

a solution for competition of kaggle `Human or Robot`

humanrl_prior_games

hurst

Hurst exponent evaluation and R/S-analysis in Python

hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

iaf

Code for reproducing key results in the paper "Improving Variational Inference with Inverse Autoregressive Flow"

ialp2016_shared_task

This paper introduces Aicyber’s system for the Dimensional Sentiment Analysis of Chinese Words in IALP 2016 Shared task

icc2017

icc_2017_workshop

This tutorial review basic steps to use Blender and GIS addon for importing and processing basic Geospatial data

iccc__2016

An app for ICCC 2016 conference

iccv-2017-paper

The repository to host the ICCV paper "Realistic Dynamic Facial Textures from a Single Image using GANs"

ice

Comprehensive RPC framework with support for C++, C#, Java, JavaScript, Python and more.

ice-ba

iclr15

Sentiment Analysis with Ensemble

iclr2016

Python code for training all models in the ICLR paper, "Towards Universal Paraphrastic Sentence Embeddings". These models achieve strong performance on semantic similarity tasks without any training or tuning on the training data for those tasks. They also can produce features that are at least as discriminative as skip-thought vectors for semantic similarity tasks at a minimum. Moreover, this code can achieve state-of-the-art results on entailment and sentiment tasks.

iclr2017

Doc2VecC from the paper "Efficient Vector Representation for Documents through Corruption"

icra2017-visual-navigation

Target-driven Visual Navigation in Indoor Scenes using Deep Reinforcement Learning