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hands-on-recommendation-systems-with-python

Hands-On Recommendation Systems with Python published by Packt

hbuoj

Hebei University Online Judge

hpbandster

a distributed Hyperband implementation on Steroids

html-agility-pack

Html Agility Pack (HAP)

ignite

High-level library to help with training neural networks in PyTorch

iina

The modern video player for macOS.

image_segmentation

pytorch Implementation of U-Net, R2U-Net, Attention U-Net, Attention R2U-Net.

imageglass

🏞 A lightweight, versatile image viewer

infogan-pytorch

PyTorch Implementation of InfoGAN

infogan-pytorch-1

implement infoGAN using pytorch

innereye-deeplearning

Medical Imaging Deep Learning library to train and deploy models on Azure Machine Learning and Azure Stack

interactive-intro-rl

Big Data's open seminars: An Interactive Introduction to Reinforcement Learning

interpret

Fit interpretable models. Explain blackbox machine learning.

interpret-community

The Interpret Community extends Interpret repo with additional interpretability techniques and utility functions to handle real-world datasets and workflows.

ipython-notebooks

ipython-notebooks on popular algorithms meant to be used at technical sessions for IITB students

iris_landmarks_pytorch

Iris landmarks localization

iterative-stratification

scikit-learn cross validators for iterative stratification of multilabel data

janino

Janino is a super-small, super-fast Java™ compiler.

jd4

Judging daemon for programming contests

judge

A modern, open-source online judge and contest platform system.

judger

Online judge sandbox based on seccomp | OnlineJudge 安全沙箱

judgeserver

jupytergraffiti

Create interactive screencasts inside Jupyter Notebook that anybody can play back

keen-tracking.js

A light, fast and flexible javascript tracking library

keras-facenet

Facenet implementation by Keras2

keras-gan

Keras implementations of Generative Adversarial Networks.

keras-image-ocr

How to train a Keras model to recognize variable length text | DLology

keras-tuner

Hyperparameter tuning for humans

keras-yolo2

Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).

keras_ensemblng

Ensembling ConvNets using Keras