321 Open source projects that are alternatives of or similar to SimPLE

Deep Metric Transfer for Label Propagation with Limited Annotated Data

Pytorch implementation of Conditional Image Synthesis with Auxiliary Classifier GANs

Active learning for deep object detection using YOLO

Several SSL methods (Pi model, Mean Teacher) are implemented in pytorch

Implementation of ULMFit algorithm for text classification via transfer learning

SuSi: Python package for unsupervised, supervised and semi-supervised self-organizing maps (SOM)

[ICCV 2019 Oral] TA3N: https://github.com/cmhungsteve/TA3N (Most updated repo)

Repositório dos exemplos e desafios utilizados na disciplina de Visão Computacional do curso de MBA Machine Learning da FIAP

EC-GAN: Low-Sample Classification using Semi-Supervised Algorithms and GANs (AAAI 2021)

Implementations of various VAE-based semi-supervised and generative models in PyTorch

PseudoLabel 2013, VAT, PI model, Tempens, MeanTeacher, ICT, MixMatch, FixMatch

GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training

Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology. (DEPRECATED)

📜 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.

Tensorflow implementation of Adversarial Autoencoders

Code for the paper STN-OCR: A single Neural Network for Text Detection and Text Recognition

Unseen Object Segmentation in Videos via Transferable Representations, ACCV 2018 (oral)

Code for "MixMatch - A Holistic Approach to Semi-Supervised Learning"

Autoencoders for Link Prediction and Semi-Supervised Node Classification (DSAA 2018)

Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.

🧹 Formerly for binary classification with noisy labels. Replaced by cleanlab.

Tensorflow implementation of our paper: Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning

VOSK Speech Recognition Toolkit

Face Recognition with Transfer Learning

NeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs

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

[ICCV 2019]Aggregation via Separation: Boosting Facial Landmark Detector with Semi-Supervised Style Transition

resource collection for transfer learning!

Semi-supervised Medical Image Segmentation through Dual-task Consistency

An implementation for our paper: CsiGAN: Robust Channel State Information-based Activity Recognition with GANs (IEEE Internet of Things Journal, 2019), which is the semi-supervised Generative Adversarial Network (GAN) for Channel State Information (CSI) -based activity recognition.

A PyTorch implementation of Deep SAD, a deep Semi-supervised Anomaly Detection method.

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

🤖 Cozmo the Robot recognizes objects with TensorFlow

noisy labels; missing labels; semi-supervised learning; entropy; uncertainty; robustness and generalisation.

Pytorch Implementation of "Adversarial Learning For Semi-Supervised Semantic Segmentation" for ICLR 2018 Reproducibility Challenge

[CVPR21] Implementation of our work "Three Ways to Improve Semantic Segmentation with Self-Supervised Depth Estimation"

tensorflow object detection api helper tool ( custom object detection )

Code accompanying the paper "Semi-supervised adversarial audio source separation applied to singing voice extraction"

Implementation with some extensions of the paper "Snowball: Extracting Relations from Large Plain-Text Collections" (Agichtein and Gravano, 2000)

Semi-supervised Semantic Segmentation with Directional Context-aware Consistency (CVPR 2021)

Building an ACL tear detector to spot knee injuries from MRIs with PyTorch (MRNet)

Enhancing the BERT training with Semi-supervised Generative Adversarial Networks in Pytorch/HuggingFace

Pytorch Implementation of the paper MixMatch: A Holistic Approach to Semi-Supervised Learning (https://arxiv.org/pdf/1905.02249.pdf)

Semi-Supervised Learning and Collective Classification

A Simple but Powerful CNN Trainer For PyTorch

Source code and data for ACL 2019 Long Paper ``Semantic Parsing with Dual Learning".

Code for reproducing ICT ( published in IJCAI 2019)

Joint Semi-supervised Learning of Image Registration and Segmentation

Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem

Code for Paper ''Dual Student: Breaking the Limits of the Teacher in Semi-Supervised Learning'' [ICCV 2019]

Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]

Experiments on Flood Segmentation on Sentinel-1 SAR Imagery with Cyclical Pseudo Labeling and Noisy Student Training

Keras implementation of temporal ensembling(semi-supervised learning)

Pytorch implementation of "Graph Convolutional Networks for Text Classification"

Customisable Unified Physical Simulations (CUPS) for Reinforcement Learning. Experiments run on the ai2thor environment (http://ai2thor.allenai.org/) e.g. using A3C, RainbowDQN and A3C_GA (Gated Attention multi-modal fusion) for Task-Oriented Language Grounding (tasks specified by natural language instructions) e.g. "Pick up the Cup or else"

Real-time AI-powered translation of American sign language to text

Tensorflow implementation of Semi-supervised Sequence Learning (https://arxiv.org/abs/1511.01432)

Reproduce some methods in semi-supervised papers.

Python toolbox for transfer learning.

Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"