gitCD2019's Stars
youngyangyang04/leetcode-master
《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀
qiyuangong/leetcode
Python & JAVA Solutions for Leetcode
kamyu104/LeetCode-Solutions
🏋️ Python / Modern C++ Solutions of All 3283 LeetCode Problems (Weekly Update)
tejaslodaya/timeseries-clustering-vae
Variational Recurrent Autoencoder for timeseries clustering in pytorch
laekov/fastmoe
A fast MoE impl for PyTorch
prprbr/awesome-lifelong-continual-learning
A list of papers, blogs, datasets and software in the field of lifelong/continual machine learning
xialeiliu/Awesome-Incremental-Learning
Awesome Incremental Learning
zergtant/pytorch-handbook
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
soochan-lee/CN-DPM
Official code for ICLR 2020 paper "A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning."
GT-RIPL/Continual-Learning-Benchmark
Evaluate three types of task shifting with popular continual learning algorithms.
GMvandeVen/continual-learning
PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.
tristandeleu/pytorch-meta
A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch
tristandeleu/pytorch-maml
An Implementation of Model-Agnostic Meta-Learning in PyTorch with Torchmeta
ServiceNow/osaka
Codebase for "Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning". This is a ServiceNow Research project that was started at Element AI.
chrhenning/hypercl
Continual Learning with Hypernetworks. A continual learning approach that has the flexibility to learn a dedicated set of parameters, fine-tuned for every task, that doesn't require an increase in the number of trainable weights and is robust against catastrophic forgetting.
JosephKJ/merlin
(NeurIPS 2020) Meta-Consolidation for Continual Learning
joansj/hat
Overcoming catastrophic forgetting with hard attention to the task
probml/pyprobml
Python code for "Probabilistic Machine learning" book by Kevin Murphy
probml/pml-book
"Probabilistic Machine Learning" - a book series by Kevin Murphy
eambutu/snail-pytorch
Implementation of "A Simple Neural Attentive Meta-Learner" (SNAIL, https://arxiv.org/pdf/1707.03141.pdf) in PyTorch
roboticcam/machine-learning-notes
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接
heykeetae/Self-Attention-GAN
Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN)
jsyoon0823/TimeGAN
Codebase for Time-series Generative Adversarial Networks (TimeGAN) - NeurIPS 2019
znxlwm/pytorch-generative-model-collections
Collection of generative models in Pytorch version.
hwalsuklee/tensorflow-generative-model-collections
Collection of generative models in Tensorflow
nashory/gans-awesome-applications
Curated list of awesome GAN applications and demo
dragen1860/Deep-Learning-with-TensorFlow-book
深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
ZhaoZhibin/DL-based-Intelligent-Diagnosis-Benchmark
Source codes for the paper "Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study"
thuml/Transfer-Learning-Library
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
fungtion/DANN
pytorch implementation of Domain-Adversarial Training of Neural Networks