chrisbyd Goto Github PK

pointnet2

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

ppo_tf

Implementation of proximal policy optimization(PPO) with tensorflow

pqtable

Fast search algorithm for product-quantized codes via hash-tables

psldh

PyTorch implementation for paper “Partial-Softmax Loss based Deep Hashing”

pvcnn

[NeurIPS 2019, Spotlight] Point-Voxel CNN for Efficient 3D Deep Learning

pven

Parsing based vehicle ReID

pvt

pycontrast

PyTorch implementation of Contrastive Learning methods; List of awesome-contrastive-learning papers

pytorch-cyclegan-and-pix2pix

Image-to-Image Translation in PyTorch

pytorch-histogram-loss

PyTorch implementation for Histogram Loss

pytorch-metric-learning

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

pytorch-studiogan

StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

pytorchic-bert

Pytorch Implementation of Google BERT

qix

Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang

rangeloss-pytorch-reid

A Pytorch reproduction of Range Loss, which is proposed in paper 《Range Loss for Deep Face Recognition with Long-Tailed Training Data》

real-world-masked-face-dataset

Real-World Masked Face Dataset，口罩人脸数据集

reid-mgn

Simple pytorch unofficial implement of paper: Learning Discriminative Features with Multiple Granularities for Person Re-Identification

reid-strong-baseline

Bag of Tricks and A Strong Baseline for Deep Person Re-identification

reid_baseline_with_syncbn

Reimplementation of Bag of Tricks and A Strong Baseline for Deep Person Re-identification

reinforcement_learning_chris

This repo contains the classical algorithm implementations for reinforcement learning using OpenAI gym for simulation.

relation-aware-global-attention-networks

We design an effective Relation-Aware Global Attention (RGA) module for CNNs to globally infer the attention.

research-xbm

XBM: Cross-Batch Memory for Embedding Learning

retrieval.pytorch

Adaptive Cross-Modal Embeddings for Image-Sentence Alignment

reversible-rnn

Code for reversible recurrent neural networks

ribseg

[MICCAI'21] RibSeg Dataset and Strong Point Cloud Baselines for Rib Segmentation from CT Scans

rii

Fast and memory-efficient ANN with a subset-search functionality

scan

PyTorch source code for "Stacked Cross Attention for Image-Text Matching" (ECCV 2018)

scenegraphparser

A python toolkit for parsing captions (in natural language) into scene graphs (as symbolic representations).

sdh_pytorch

Source code for paper "Supervised Discrete Hashing" on CVPR-2015

self-similarity-grouping

Self-similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-identification (ICCV 2019, Oral)