kilohotel8

kilohotel8's Stars

• google-research/vision_transformer

  Language:Jupyter Notebook10.3k1062071.3k

• higgsfield/RL-Adventure-2

  PyTorch0.4 implementation of: actor critic / proximal policy optimization / acer / ddpg / twin dueling ddpg / soft actor critic / generative adversarial imitation learning / hindsight experience replay

  Language:Jupyter Notebook3k7626555

• higgsfield/RL-Adventure

  Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

  Language:Jupyter Notebook3k7222590

• google-research/meta-dataset

  A dataset of datasets for learning to learn from few examples

  Language:Jupyter Notebook7622396139

• yaoyao-liu/meta-transfer-learning

  TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)

  Language:Python7422261149

• kjunelee/MetaOptNet

  Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)

  Language:Python52785697

• rgeirhos/Stylized-ImageNet

  Code to create Stylized-ImageNet, a stylized version of standard ImageNet (ICLR 2019 Oral)

  Language:Python506131263

• Sha-Lab/FEAT

  The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"

  Language:Python417138284

• vy007vikas/PyTorch-ActorCriticRL

  PyTorch implementation of DDPG algorithm for continuous action reinforcement learning problem.

  Language:Python3918564

• hendrycks/imagenet-r

  ImageNet-R(endition) and DeepAugment (ICCV 2021)

  Language:Python2538918

• blue-blue272/fewshot-CAN

  Code of Cross Attention Network for Few-shot Classification (NeurIPS 2019).

  Language:Python20731541

• cambridge-mlg/cnaps

  Code for: "Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes" and "TaskNorm: Rethinking Batch Normalization for Meta-Learning"

  Language:Python159111622

• Clarifai/few-shot-ctm

  Few shot learning

  Language:Python156301231

• VICO-UoE/URL

  Universal Representation Learning from Multiple Domains for Few-shot Classification - ICCV 2021, Cross-domain Few-shot Learning with Task-specific Adapters - CVPR 2022

  Language:Python12692117

• peymanbateni/simple-cnaps

  Source codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples" (WACV 2022), and "Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning" (SSRN Electronic Journal)

  Language:Python1159524

• LiYingwei/ShapeTextureDebiasedTraining

  Code and models for the paper Shape-Texture Debiased Neural Network Training (ICLR 2021)

  Language:Python10861110

• ServiceNow/TADAM

  The implementation of https://papers.nips.cc/paper/7352-tadam-task-dependent-adaptive-metric-for-improved-few-shot-learning . TADAM is a ServiceNow Research project that was started at Element AI.

  Language:Jupyter Notebook10627424

• microsoft/ORBIT-Dataset

  The ORBIT dataset is a collection of videos of objects in clean and cluttered scenes recorded by people who are blind/low-vision on a mobile phone. The dataset is presented with a teachable object recognition benchmark task which aims to drive few-shot learning on challenging real-world data.

  Language:Python9512524

• chrysts/dsn_fewshot

  Language:Python9062119

• clovaai/embedding-expansion

  Official MXNet implementation of "Embedding Expansion: Augmentation in Embedding Space for Deep Metric Learning" (CVPR 2020)

  Language:Python76619

• corwinliu9669/Learning-a-Few-shot-Embedding-Model-with-Contrastive-Learning

  This repo contains codes for Learning a Few-shot Embedding Model with Contrastive Learning(AAAI2021)

  Language:Python60367

• mboudiaf/pytorch-meta-dataset

  A non-official 100% PyTorch implementation of META-DATASET benchmark for few-shot classification

  Language:Python597259

• adavoudi/spdnet

  Implementation of Deep SPDNet in pytorch

  Language:Python5821611

• dvornikita/SUR

  Code for the paper "Selecting Relevant Features from a Universal Representation for Few-shot Classification"

  Language:Python414711

• WonderSeven/ULDA

  The official implement of paper "Unsupervised Few-Shot Learning via Distribution Shift-based Augmentation"

  Language:Python25307

• skrish13/CrossTransformers-PyTorch

  PyTorch code for the paper "CrossTransformers: spatially-aware few-shot transfer"

  Language:Python22343

• abarbu/objectnet-template-pytorch

  baseline mode for the ObjectNet competition

  Language:Python178109

• ksoh97/BIN

  Tensorflow implementation of "Born Identity Network: Multi-way Counterfactual Map Generation to Explain a Classifier's Decision"

  Language:Python5120

• abarbu/objectnet-template-tensorflow

  Language:Python3614

• ksoh97/ksoh97

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