godplusone

godplusone's Stars

• GauravIyer/MAML-Pytorch

  A Pytorch implementation of MAML

  Language:Jupyter Notebook4711

• lixin4ever/Conference-Acceptance-Rate

  Acceptance rates for the major AI conferences

  Language:Jupyter Notebook4.2k296

• lorenmt/auto-lambda

  The Implementation of "Auto-Lambda: Disentangling Dynamic Task Relationships" [TMLR 2022].

  Language:Python12818

• WeiHongLee/Awesome-Multi-Task-Learning

  An up-to-date list of works on Multi-Task Learning

  27523

• WeiChengTseng/Pytorch-PCGrad

  Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"

  Language:Python29943

• chrisjmyoon/iccsa

  Language:Python4

• autumn9999/VMTL

  Language:Python101

• haochenheheda/NFormer

  Implementation of NFormer: Robust Person Re-identification with Neighbor Transformer

  Language:Python6511

• haochenheheda/SwiftNet

  implement of SwiftNet:Real-time Video Object Segmentation

  Language:Python9210

• haochenheheda/Training-Code-of-STM

  Training code of Spatial Time Memory Network. Semi-supervised video object segmentation.

  Language:Python16529

• dragen1860/MAML-Pytorch

  Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

  Language:Python2.3k420

• lucidrains/vit-pytorch

  Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

  Language:Python19.9k3k

• janosh/awesome-normalizing-flows

  Awesome resources on normalizing flows.

  Language:Python1.4k123

• jmtomczak/vae_vampprior

  Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling

  Language:Python22150

• Yingjun-Du/MetaVRF

  This repository contains source code of the ICML 2020 paper:(Learning to Learn Kernels with Variational Random Features)

  Language:Python85

• fuqiuai/wordCloud

  用python进行文本分词并生成词云

  Language:Python40397

• shuhuai007/cs229

  Stanford CS229 (Autumn 2017)

  Language:Matlab3029

• shuhuai007/Machine-Learning-Session

  5.1k1.1k

• joelouismarino/iterative_inference

  Implementation of iterative inference in deep latent variable models

  Language:Python439

• godplusone/ZeroShot_CVAE

  Code for A Generative Approach to Zero-Shot learning Using Conditonal Variational Autoencoders

  Language:Python1

• ShivaKrishnaM/ZeroShot_CVAE

  Code for A Generative Approach to Zero-Shot learning Using Conditonal Variational Autoencoders

  Language:Python298

• cbfinn/maml

  Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

  Language:Python2.5k605

• dragen1860/awesome-meta-learning

  A curated list of Meta-Learning resources/papers.

  554100

• floodsung/LearningToCompare_FSL

  PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)

  Language:Python1k268

• wyharveychen/CloserLookFewShot

  source code to ICLR'19, 'A Closer Look at Few-shot Classification'

  Language:Python1.1k269

• wepe/MachineLearning

  Basic Machine Learning and Deep Learning

  Language:Python5.2k3.2k

• princeton-vl/pose-hg-train

  Training and experimentation code used for "Stacked Hourglass Networks for Human Pose Estimation"

  Language:Jupyter Notebook575185

• pytorch/pytorch

  Tensors and Dynamic neural networks in Python with strong GPU acceleration

  Language:Python82.7k22.3k

• Bob130/Human-Pose-Estimation-Papers

  2D&3D human pose estimation

  13324

• wy1iu/sphereface

  Implementation for <SphereFace: Deep Hypersphere Embedding for Face Recognition> in CVPR'17.

  Language:Jupyter Notebook1.6k543