Zhen-Zohn-WANG's repositories
Co2L
Co^2L: Contrastive Continual Learning (ICCV2021)
Compact-Transformers
[Preprint] Escaping the Big Data Paradigm with Compact Transformers, 2021
Continual_Learning_CV
Continual Learning Toolbox for Computer Vision Tasks
CvT
This is an official implementation of CvT: Introducing Convolutions to Vision Transformers.
External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
FACIL
Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.
FactorVAE
Reproduce AAAI22-FactorVAE
financial-machine-learning
A curated list of practical financial machine learning tools and applications.
FinRL-Library
A Deep Reinforcement Learning Library for Automated Trading in Quantitative Finance. NeurIPS 2020. Please star. 🔥
fvcore
Collection of common code that's shared among different research projects in FAIR computer vision team.
incremental_learning.pytorch
A collection of incremental learning paper implementations including PODNet (ECCV20) and Ghost (CVPR-W21).
leetcode
LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)
LeViT
LeViT a Vision Transformer in ConvNet's Clothing for Faster Inference
Maximally_Interfered_Retrieval
Codebase for "Online Continual Learning with Maximally Interfered Retrieval"
NLP_ability
总结梳理自然语言处理工程师(NLP)需要积累的各方面知识，包括面试题，各种基础知识，工程能力等等，提升核心竞争力
online-continual-learning
A collection of online continual learning paper implementations for computer vision in PyTorch, including our ASER(AAAI-21), SCR(CVPR21-W) and a survey under review.
perceiver-pytorch
Implementation of Perceiver, General Perception with Iterative Attention, in Pytorch
Perceiver_MNIST
Just a quick toy example of the Perceiver architecture (PyTorch & PyTorch Lightning)
shap
A game theoretic approach to explain the output of any machine learning model.
Swin-Transformer
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
Twins
Two simple and effective designs of vision transformer, which is on par with the Swin transformer
vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
XLM
PyTorch original implementation of Cross-lingual Language Model Pretraining.
Zhen-Zohn-WANG.github.io
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