wibrow Goto Github PK

annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

attention

some attention implements

awesome-deep-text-detection-recognition

A curated list of resources for text detection/recognition (optical character recognition ) with deep learning methods.

bcnet

Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers [CVPR 2021]

bert

TensorFlow code and pre-trained models for BERT

c-swm

Contrastive Learning of Structured World Models

c_cpp

以前写的 C, C++ 语言层面的一些练习代码，初学c++者可以拿去看看

cbam.pytorch

Non-official implement of Paper：CBAM: Convolutional Block Attention Module

cdk

The Chemistry Development Kit

centernet

Object detection, 3D detection, and pose estimation using center point detection:

centernet-pytorch

这是一个centernet-pytorch的源码，可以用于训练自己的模型。

centernet2

Two-stage CenterNet

chemprop

Message Passing Neural Networks for Molecule Property Prediction

chinese-ocr

[python3.6] 运用tf实现自然场景文字检测,keras/pytorch实现ctpn+crnn+ctc实现不定长场景文字OCR识别

cs231n-mammogram

Classify mammograms as benign/malignant, using the CBIS-DDSM dataset. Class project for CS231n at Stanford

dataset

Crop/Weed Field Image Dataset

ddsm

Digital Database for Digital Mammography Software

deep_gcns

Tensorflow Repo for "DeepGCNs: Can GCNs Go as Deep as CNNs?" ICCV2019 Oral https://www.deepgcns.org

deeplabv3plus-pytorch

Here is a pytorch implementation of deeplabv3+ supporting ResNet(79.155%) and Xception(79.945%). Multi-scale & flip test and COCO dataset interface has been finished.

deeplabv3plus-pytorch-1

DeepLabv3, DeepLabv3+ and pretrained weights on VOC & Cityscapes

dgl

The official repo is https://github.com/dmlc/dgl . THIS IS A FORK.

dgl-dgmg

dp4-ai

Python workflow for DP4 analysis of organic molecules

drkg

A knowledge graph and a set of tools for drug repurposing

drug

backend 最新版

dssd

Deconvolutional SSD

efficient-model

模型压缩demo（剪枝、量化、知识蒸馏）

efficientdet-tf2

这是一个efficientdet-tf2（tensorflow2）的源码，可以用于训练自己的模型。

gat

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

gcn

Implementation of Graph Convolutional Networks in TensorFlow