126 Open source projects that are alternatives of or similar to FKD

Official PyTorch implementation of Contrastive Learning of Musical Representations

PyTorch implementation of EMAN for self-supervised and semi-supervised learning: https://arxiv.org/abs/2101.08482

Mobile(iOS) Text-to-Image search powered by multimodal semantic representation models(e.g., OpenAI's CLIP). Accepted at NAACL 2022.

The authors' implementation of the "Neural Head Reenactment with Latent Pose Descriptors" (CVPR 2020) paper.

S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration (CVPR 2021)

EsViT: Efficient self-supervised Vision Transformers

[ECCV 2020] Scale Adaptive Network: Learning to Learn Parameterized Classification Networks for Scalable Input Images

PyTorch implementation of our CVPR2021 (oral) paper "Prototype Augmentation and Self-Supervision for Incremental Learning"

Official PyTorch Implementation of Embedding Transfer with Label Relaxation for Improved Metric Learning, CVPR 2021

PyTorch implementation of the InfoNCE loss for self-supervised learning.

Self6D++: Occlusion-Aware Self-Supervised Monocular 6D Object Pose Estimation. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2021.

A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which appeared in The International Workshop on Self-Supervised Learning for the Web (SSL'21) @ the Web Conference 2021 (WWW'21).

[NeurIPS 2021 Spotlight] Aligning Pretraining for Detection via Object-Level Contrastive Learning

Exploring Simple Siamese Representation Learning

SimpleAICV:pytorch training example on ImageNet(ILSVRC2012)/COCO2017/VOC2007+2012 datasets.Include ResNet/DarkNet/RetinaNet/FCOS/CenterNet/TTFNet/YOLOv3/YOLOv4/YOLOv5/YOLOX.

[WACV'22] Code repository for the paper "Self-supervised Video Representation Learning with Cross-Stream Prototypical Contrasting", https://arxiv.org/abs/2106.10137.

ZSKD with PyTorch

Implementation of Barlow Twins paper

The code for our IEEE ACCESS (2020) paper Multimodal Emotion Recognition with Transformer-Based Self Supervised Feature Fusion.

EDCC: An efficient and accurate algorithm for palmprint recognition.

A curated list of awesome graph & self-supervised-learning-based recommendation.

PyTorch Implementation on Paper [CVPR2021]Distilling Audio-Visual Knowledge by Compositional Contrastive Learning

(ICCV 2021) BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search

Code and resources on scalable and efficient Graph Neural Networks

Localize to Classify and Classify to Localize: Mutual Guidance in Object Detection

This repository contains the code implementation used in the paper Temporally Coherent Embeddings for Self-Supervised Video Representation Learning (TCE).

Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]

🛠️ Tools for Transformers compression using PyTorch Lightning ⚡

Awesome Graph Self-Supervised Learning

OpenMMLab Model Compression Toolbox and Benchmark.

Intel® Neural Compressor (formerly known as Intel® Low Precision Optimization Tool), targeting to provide unified APIs for network compression technologies, such as low precision quantization, sparsity, pruning, knowledge distillation, across different deep learning frameworks to pursue optimal inference performance.

List of Publications in Graph Contrastive Learning

Generic image compressor for machine learning. Pytorch code for our paper "Lossy compression for lossless prediction".

This is the code base for paper "G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling" by Souradip Chakraborty, Aritra Roy Gosthipaty and Sayak Paul.

Code for the paper "DisCont: Self-Supervised Visual Attribute Disentanglement using Context Vectors".

A TensorFlow 2.x implementation of Masked Autoencoders Are Scalable Vision Learners

supervised and semi-supervised image classification with self-supervision (Keras)

This is our implementation of EATNN: Efficient Adaptive Transfer Neural Network (SIGIR 2019)

Localization Distillation for Dense Object Detection (CVPR 2022)

Self-Supervised Pillar Motion Learning for Autonomous Driving (CVPR 2021)

Multi-Label Image Classification via Knowledge Distillation from Weakly-Supervised Detection (ACM MM 2018)

Adversarial Adaptation with Distillation for BERT Unsupervised Domain Adaptation

Research code for ACL 2020 paper: "Distilling Knowledge Learned in BERT for Text Generation".

Variants of Vision Transformer and its downstream tasks

Tensorflow Implementation for paper "self-supervised generative adversarial networks"

Official code for "Mean Shift for Self-Supervised Learning"

TKDE 22. CCCL: Contrastive Cascade Graph Learning.

Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons (AAAI 2019)

Vector Quantized Autoregressive Predictive Coding (VQ-APC)

Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning

code for our ECCV-2020 paper: Self-supervised Video Representation Learning by Pace Prediction

this is roberta wwm base distilled model which was distilled from roberta wwm by roberta wwm large

LiBai(李白): A Toolbox for Large-Scale Distributed Parallel Training

Code to train the SimSiam model on cifar10 using PyTorch

Generalized Deep Metric Learning.

code for CVPR-2019 paper: Self-supervised Spatio-temporal Representation Learning for Videos by Predicting Motion and Appearance Statistics

Code for our ACML and INTERSPEECH papers: "Speaker Diarization as a Fully Online Bandit Learning Problem in MiniVox".

人工智障本地图片检索工具 | An EfficientNet based image retrieval tool

Natural World Tasks

OpenMMLab Self-Supervised Learning Toolbox and Benchmark