ihaeyong Goto Github PK

realistic-ssl-evaluation

Open source release of the evaluation benchmark suite described in "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"

ref_all_conv_net

relational-gcn

Keras-based implementation of Relational Graph Convolutional Networks

relationprediction

Implementation of R-GCNs for Relational Link Prediction

reltr

RelTR: Relation Transformer for Scene Graph Generation: https://arxiv.org/abs/2201.11460v2

rl-image-classification

rl_notes

Notes of Reinforcement Learning MOOC by University of Alberta

rnn-implementation-using-numpy-binary-digit-addition

RNN implementation using only Numpy. Try to learn binary digit addition.

robust-f-divergence-measures

[ICLR2021] Official Pytorch implementation of "When Optimizing f-Divergence is Robust with Label noise"

roialign.pytorch

RoIAlign & crop_and_resize for PyTorch

s-wmd

Code for Supervised Word Mover's Distance (SWMD)

scala-graph

Graph for Scala is intended to provide basic graph functionality seamlessly fitting into the Scala Collection Library. Like the well known members of scala.collection, Graph for Scala is an in-memory graph library aiming at editing and traversing graphs, finding cycles etc. in a user-friendly way.

scene-graph-transformer-cogtree

scene_graph_benchmark

image scene graph generation benchmark

selective-rmp

self-attention-classification

document classification using LSTM + self attention

self-supervised-relational-reasoning

Official PyTorch implementation of the paper "Self-Supervised Relational Reasoning for Representation Learning", NeurIPS 2020 Spotlight.

semgcn

The Pytorch implementation for "Semantic Graph Convolutional Networks for 3D Human Pose Regression" (CVPR 2019).

sgg-seq2seq

Code for the ICCV'21 paper "Context-aware Scene Graph Generation with Seq2Seq Transformers"

softnet-3dls

3D Loss Landscapes of SoftNet (Sparse Subnetwork)

softnet-fscil

solo-learn-compress

spacemacs

A community-driven Emacs distribution - The best editor is neither Emacs nor Vim, it's Emacs *and* Vim!

sparseconvnet

Submanifold sparse convolutional networks

sparseconvnet-1

Spatially-sparse convolutional networks. Allows processing of sparse 2, 3 and 4 dimensional data.Build CNNs on the square/cubic/hypercubic or triangular/tetrahedral/hyper-tetrahedral lattices.

spatial-transformer-network

A Tensorflow Implementation of Spatial Transformer Networks

spdy

Code for ICML 2022 paper "SPDY: Accurate Pruning with Speedup Guarantees"

spheregan

spheregan-pytorch-implementation

Pytorch implementation of SphereGAN(Sphere Generative Adversarial Network Based on Geometric Moment Matching)

ssd

High quality, fast, modular reference implementation of SSD in PyTorch 1.0