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hybrid_space

Source code of our TPAMI'21 paper Dual Encoding for Video Retrieval by Text and CVPR'19 paper Dual Encoding for Zero-Example Video Retrieval.

hydra

Multi-Task Learning Framework on PyTorch. State-of-the-art methods are implemented to effectively train models on multiple tasks.

hyperbolic

A Python 3 library for constructing and drawing hyperbolic geometry

hyperml

hypernets

A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.

hypernews

hyperparameter-optimization

Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms

i3d_finetune

TensorFlow code for finetuning I3D model on UCF101.

iasd_master

All projects done during master 2 IASD (PSL / Paris Dauphine)

ic-gar

Tensorflow implementation of Item Co-occurrence Graph Augmented Session-based Recommendation

icdm_2020_kgc

ice

ICE: Item Concept Embedding

iclr20-lcn

Locally Constant Networks (ICLR 2020)

iclr2021-oral_distribution_calibration

iclr_2019

ICLR Reproducibility Challenge 2019

icsrwncf

论文 Intelligent commercial site recommendation with neural collaborative filtering 使用pytorch复现

icv-sbr

Benchmarking of Session-based Recommendation Approaches

id2vec

idmlib

Data mining libraries for all iZENECloud projects

igsolver

IGsolver is a C++ library implements several basic optimization algorithms

igsql

ijcai2019-naml

The codes of Neural News Recommendation with Attentive Multi-view Learning

illustration2vec

A simple deep learning library for estimating a set of tags and extracting semantic feature vectors from given illustrations.

image-quality-assessment-benchmark

A collection of state-of-the-art image quality assessment algorithms

imfb-kdd2019

Code for the experiments of Matrix Factorization Bandit

imgucb

The implementation of IMGUCB algorithm.

implementation_of_papers

implementation_of_papers

implicit-unlikelihood-training

Improving Neural Text Generation with Reinforcement Learning

importance-sampling

Code for experiments regarding importance sampling for training neural networks

improving-word2vec-with-better-sampling

This project seeks to improve Word2Vec by better down-sampling, both positive and negative using a variety of statistics.