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Pytorch Optimizer ⭐ 2,882

torch-optimizer -- collection of optimizers for Pytorch

Cvpr 2019 Paper Statistics ⭐ 525

Statistics and Visualization of acceptance rate, main keyword of CVPR 2019 accepted papers for the main Computer Vision conference (CVPR)

Snapshot Ensembles ⭐ 277

Snapshot Ensemble in Keras

Hin Datasets For Recommendation And Network Embedding ⭐ 215

Heterogeneous Information Network Datasets for Recommendation and Network Embedding

Super Convergence ⭐ 168

Files to create the figures in the paper "Super-Convergence: Very Fast Training of Residual Networks Using Large Learning Rates"

Hypergradient Descent ⭐ 95

Hypergradient descent

Radam Tensorflow ⭐ 95

Simple Tensorflow implementation of "On The Variance Of The Adaptive Learning Rate And Beyond"

Data Science Reading ⭐ 90

Data science papers to read and discuss.

Distbelief ⭐ 79

Implementing Google's DistBelief paper

Keras_rectified_adam ⭐ 71

Implementation of Rectified Adam in Keras

Text Detection Fots.pytorch ⭐ 63

FOTS text detection branch reimplementation, hmean: 83.3%

Automatic Academic Paper Rating: Data and Model (ACL 2018)

Code for paper: Joint Representation Learning for Top-N Recommendation with Heterogenous Information Sources

Iccv 2019 Paper Statistics ⭐ 46

Statistics and Visualization of acceptance rate, main keyword of ICCV 2019 accepted papers for the main Computer Vision conference (ICCV)

Yolov1 Tensorflow2.0 ⭐ 37

A tensorflow2.0 implementation of the YOLOv1 paper https://arxiv.org/pdf/1506.02640

Pytorch Lr Dropout ⭐ 35

"Learning Rate Dropout" in PyTorch

Cvpr 2020 Paper Statistics ⭐ 26

Statistics and Visualization of acceptance rate, main keyword of CVPR 2020 accepted papers for the main Computer Vision conference (CVPR)

Curriculum_learning ⭐ 21

Code implementing the experiments described in the paper "On The Power of Curriculum Learning in Training Deep Networks" by Hacohen & Weinshall (ICML 2019)

Pointnet ⭐ 20

PyTorch Implementation of PointNet

This is the official code for the WSDM 2021 paper: 'Local Collaborative Autoencoders.'

Tvt2015_distributed_csi_acquisition ⭐ 16

Simulation code for "Distributed CSI Acquisition and Coordinated Precoding for TDD Multicell MIMO Systems" (IEEE TVT 2015).

Deep Learning Notebooks ⭐ 14

Collection of my implementations of various papers and the stuff I like.

Universal Adversarial Perturbations Pytorch ⭐ 14

Implementation of https://arxiv.org/abs/1610.08401 for the CS-E4070 - Special Course in Machine Learning and Data Science: Advanced Topics in Deep Learning course at Aalto University, Finland.

Knnbandit ⭐ 14

Software for the experiments reported in the RecSys 2019 paper "A Simple Multi-Armed Nearest-Neighbor Bandit for Interactive Recommendation"

Rrrmc.jl ⭐ 11

Reduced-Rejection-Rate Monte Carlo for Ising spin models

New algorithms for Large-scale Collaborative Ranking: PrimalCR and PrimalCR++

Capsule Networks Pytorch ⭐ 9

Reproduction of the model from the paper “Dynamic Routing Between Capsules”.

Ensemblebandits ⭐ 8

Software for the experiments reported in the RecSys 2019 paper "Multi-Armed Recommender System Bandit Ensembles"

C++ implementation of primalCR and primalCR++ proposed in KDD'17 paper

Neurips 2019 Paper Statistics ⭐ 7

Statistics and Visualization of acceptance rate, main keyword of NeurIPS 2019 accepted papers

L2t Paper Rating ⭐ 7

Polymer element to display "star" ratings in a paper style

Defi Plf Analysis ⭐ 7

Code and data for the paper: DeFi Protocols for Loanable Funds: Interest Rates, Liquidity and Market Efficiency

Time-Dependent Hawkes Process for Predicting Retweet Dynamics (Kobayashi & Lambiotte, ICWSM 2016)

Piratings ⭐ 7

mirror for the R package "piratings" https://cran.r-project.org/web/packages/piratings/ calculate dynamic performance ratings for association football teams based on the paper of Constantinou and Fenton which can be found [here] (http://www.constantinou.info/downloads/papers/pi-

Convolutional Dictionary ⭐ 6

Implementation and experiments for a (theory) paper on covergence rates of convolutional sparse dictionary learning.

Stable Multi Agent Reinforcement Learning ⭐ 5

Implementation for the paper "Multiagent Learning Using a Variable Learning Rate"

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