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htmlpy icon htmlpy

htmlPy is a wrapper around PySide's QtWebKit library. It helps with creating beautiful GUIs using HTML5, CSS3 and Javascript for standalone Python applications.

http-prompt icon http-prompt

An interactive command-line HTTP and API testing client built on top of HTTPie featuring autocomplete, syntax highlighting, and more. https://twitter.com/httpie

httpbin icon httpbin

HTTP Request & Response Service, written in Python + Flask.

httpcat icon httpcat

httpcat is a simple utility for constructing raw HTTP requests on the command line.

httpie icon httpie

As easy as /aitch-tee-tee-pie/ 🥧 Modern, user-friendly command-line HTTP client for the API era. JSON support, colors, sessions, downloads, plugins & more. https://twitter.com/httpie

httplib2 icon httplib2

Small, fast HTTP client library for Python. Features persistent connections, cache, and Google App Engine support. Originally written by Joe Gregorio, now supported by community.

httplib2-1 icon httplib2-1

The former official repository for httplib2. Now see https://github.com/httplib2.

httpretty icon httpretty

Intercept HTTP requests at the Python socket level. Fakes the whole socket module

https icon https

The HTTPS-Only Standard for federal domains (M-15-13), and implementation guidance.

httpx icon httpx

A next generation HTTP client for Python. 🦋

hub icon hub

Dataset format for AI. Build, manage, query & visualize datasets for deep learning. Stream data real-time to PyTorch/TensorFlow & version-control it. https://activeloop.ai

hug icon hug

Embrace the APIs of the future. Hug aims to make developing APIs as simple as possible, but no simpler.

hugectr icon hugectr

HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training

human-activity-recognition-using-recurrent-neural-nets-rnn-lstm-and-tensorflow-on-smartphones icon human-activity-recognition-using-recurrent-neural-nets-rnn-lstm-and-tensorflow-on-smartphones

This was my Master's project where i was involved using a dataset from Wireless Sensor Data Mining Lab (WISDM) to build a machine learning model to predict basic human activities using a smartphone accelerometer, Using Tensorflow framework, recurrent neural nets and multiple stacks of Long-short-term memory units(LSTM) for building a deep network. After the model was trained, it was saved and exported to an android application and the predictions were made using the model and the interface to speak out the results using text-to-speech API.

human-pose-estimation.pytorch icon human-pose-estimation.pytorch

The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"

hummingbird icon hummingbird

Hummingbird compiles trained ML models into tensor computation for faster inference.

hummingbot icon hummingbot

Hummingbot is open source software that helps you build trading bots that run on any exchange or blockchain

hupper icon hupper

in-process file monitor / reloader for reloading your code automatically during development

hwi icon hwi

Bitcoin Hardware Wallet Interface

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