keyu-tian

dda

Dynamic Data Augmentation for Time Series

Christmas-tree

Marry Xmas! (from http://www.codebaoku.com/it-python/it-python-232037.html)

Computer-Network-2020Fall-Assignment

my crawler assignment for Computer Network

CP-miniplc0

miniplc0 implementation based on pure python

lyyf_bert

BUAA-compiler-principles-project-solution

My solution for the course project of Compiler Principles 2021'Spring @ BUAA (北航编译原理). A compiler for language C0 including assembler, lexical tokenizer, and syntactic analyzer. Low coupling, high cohesion. Clean code architecture. Minimal design.

marcov_qa

cls_prototype

A lightweight but powerful classification codebase written in PyTorch 1.5+

DADA

The official code for DADA: Differentiable Automatic Data Augmentation

DALLE-pytorch

Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch

dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

github-marcov-backend

gitee-marcov-backend (a mirror)

github-readme-stats

:zap: Dynamically generated stats for your github readmes

megan

Code for "Molecule Edit Graph Attention Network: Modeling Chemical Reactions as Sequences of Graph Edits"

mi_eval

MoCL-DK

Implementation for the paper MoCL: Contrastive Learning on Molecular Graph with multi-level Domain Knowledge

moco

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

moco-v3

PyTorch implementation of MoCo v3 https//arxiv.org/abs/2104.02057

MolR

Chemical-Reaction-Aware Molecule Representation Learning

MRC_Competition_Dureader

中文机器阅读理解 冠军/亚军代码及预训练的MRC模型

OpenSelfSup

Self-Supervised Learning Toolbox and Benchmark

ord-data

Official data repository for the Open Reaction Database

ord-schema

Schema for the Open Reaction Database

SiT

Self-supervised vIsion Transformer (SiT)

SupContrast

PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

swin_ssl

This is an official implementation for "Self-Supervised Learning with Swin Transformers".

torch_test

up-detr

[CVPR2021 Oral] UP-DETR: Unsupervised Pre-training for Object Detection with Transformers

viewmaker

visualizers

Some visualization scripts utilizing matplotlib(seaborn), tensorboard, etc.