Yue-Liu

Yue-Liu's Stars

• graykode/distribution-is-all-you-need

  The basic distribution probability Tutorial for Deep Learning Researchers

  Language:Python1.6k386

• khurramjaved96/mrcl

  Code for the NeurIPS19 paper "Meta-Learning Representations for Continual Learning"

  Language:Python19526

• huaxiuyao/HSML

  HSML for ICML 2019

  Language:Python5112

• kuc2477/pytorch-deep-generative-replay

  PyTorch implementation of "Continual Learning with Deep Generative Replay", NIPS 2017

  Language:Python15625

• SAP-archive/machine-learning-dgm

  Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning

  Language:Python3710

• MrtnMndt/OpenVAE_ContinualLearning

  Open-source code for our paper: Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition

  Language:Python6112

• GT-RIPL/Continual-Learning-Benchmark

  Evaluate three types of task shifting with popular continual learning algorithms.

  Language:Python50892

• marcdemers/FIGR-8

  Few-shot Image Generation with Reptile: the dataset

  1136

• grandyang/leetcode

  Provide all my solutions and explanations in Chinese for all the Leetcode coding problems.

  6.2k737

• epfml/sent2vec

  General purpose unsupervised sentence representations

  Language:C++1.2k256

• fossasia/visdom

  A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.

  Language:Python10k1.1k

• joe-siyuan-qiao/WeightStandardization

  Standardizing weights to accelerate micro-batch training

  54643

• dylanaraps/pure-bash-bible

  📖 A collection of pure bash alternatives to external processes.

  Language:Shell36.6k3.3k

• xialeiliu/Awesome-Incremental-Learning

  Awesome Incremental Learning

  3.8k573

• CPR-RSS/CPR-RSS.github.io

  reading conference paper using rss

  Language:Python5310

• facebookresearch/mmf

  A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)

  Language:Python5.5k939

• AntreasAntoniou/HowToTrainYourMAMLPytorch

  The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper in Pytorch.

  Language:Python782137

• nvcuong/variational-continual-learning

  Implementation of the variational continual learning method

  Language:Python18839

• 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.

  Language:Jupyter Notebook1.6k312

• dkozlov/awesome-knowledge-distillation

  Awesome Knowledge Distillation

  3.5k495

• ajbrock/BigGAN-PyTorch

  The author's officially unofficial PyTorch BigGAN implementation.

  Language:Python2.9k479

• tuna/thuthesis

  LaTeX Thesis Template for Tsinghua University

  Language:TeX4.6k1.1k

• google/compare_gan

  Compare GAN code.

  Language:Python1.8k319

• xdshang/VidVRD-helper

  To keep updates with VRU Grand Challenge, please use https://github.com/NExTplusplus/VidVRD-helper

  Language:Python10028

• open-mmlab/mmdetection

  OpenMMLab Detection Toolbox and Benchmark

  Language:Python29.6k9.5k

• mcgrady20150318/BayesianNeuralNetwork

  a repo sharing Bayesian Neural Network recent papers

  21538

• taoxugit/AttnGAN

  Language:Python1.3k422

• AMLab-Amsterdam/AttentionDeepMIL

  Implementation of Attention-based Deep Multiple Instance Learning in PyTorch

  Language:Python833189

• caogang/wgan-gp

  A pytorch implementation of Paper "Improved Training of Wasserstein GANs"

  Language:Python1.5k346

• hx173149/C3D-tensorflow

  C3D is a modified version of BVLC tensorflow to support 3D ConvNets.

  Language:Python588262