ContextualSPMultiple paper open-source codes of the Microsoft Research Asia DKI group
Stars: ✭ 224 (+1217.65%)
DeFMO[CVPR 2021] DeFMO: Deblurring and Shape Recovery of Fast Moving Objects
Stars: ✭ 144 (+747.06%)
EPCDepth[ICCV 2021] Excavating the Potential Capacity of Self-Supervised Monocular Depth Estimation
Stars: ✭ 105 (+517.65%)
Good PapersI try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers
Stars: ✭ 248 (+1358.82%)
pyprophetPyProphet: Semi-supervised learning and scoring of OpenSWATH results.
Stars: ✭ 23 (+35.29%)
Improvedgan PytorchSemi-supervised GAN in "Improved Techniques for Training GANs"
Stars: ✭ 228 (+1241.18%)
GPQGeneralized Product Quantization Network For Semi-supervised Image Retrieval - CVPR 2020
Stars: ✭ 60 (+252.94%)
Triple GanSee Triple-GAN-V2 in PyTorch: https://github.com/taufikxu/Triple-GAN
Stars: ✭ 203 (+1094.12%)
seededldaSemisupervided LDA for theory-driven text analysis
Stars: ✭ 46 (+170.59%)
parse seq2seqA tensorflow implementation of neural sequence-to-sequence parser for converting natural language queries to logical form.
Stars: ✭ 26 (+52.94%)
TabularSemanticParsingTranslating natural language questions to a structured query language
Stars: ✭ 148 (+770.59%)
Accel Brain CodeThe purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.
Stars: ✭ 166 (+876.47%)
SimPLECode for the paper: "SimPLE: Similar Pseudo Label Exploitation for Semi-Supervised Classification"
Stars: ✭ 50 (+194.12%)
manifold mixupTensorflow implementation of the Manifold Mixup machine learning research paper
Stars: ✭ 24 (+41.18%)
UdaUnsupervised Data Augmentation (UDA)
Stars: ✭ 1,877 (+10941.18%)
Learning-From-RulesImplementation of experiments in paper "Learning from Rules Generalizing Labeled Exemplars" to appear in ICLR2020 (https://openreview.net/forum?id=SkeuexBtDr)
Stars: ✭ 46 (+170.59%)
CleanlabThe standard package for machine learning with noisy labels, finding mislabeled data, and uncertainty quantification. Works with most datasets and models.
Stars: ✭ 2,526 (+14758.82%)
Adversarial textCode for Adversarial Training Methods for Semi-Supervised Text Classification
Stars: ✭ 109 (+541.18%)
sinkhorn-label-allocationSinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in full in this ICML 2021 paper: https://arxiv.org/abs/2102.08622.
Stars: ✭ 49 (+188.24%)
KitanaQAKitanaQA: Adversarial training and data augmentation for neural question-answering models
Stars: ✭ 58 (+241.18%)
r2sql🌶️ R²SQL: "Dynamic Hybrid Relation Network for Cross-Domain Context-Dependent Semantic Parsing." (AAAI 2021)
Stars: ✭ 60 (+252.94%)
HypergcnNeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs
Stars: ✭ 80 (+370.59%)
JCLALJCLAL is a general purpose framework developed in Java for Active Learning.
Stars: ✭ 22 (+29.41%)
mrnetBuilding an ACL tear detector to spot knee injuries from MRIs with PyTorch (MRNet)
Stars: ✭ 98 (+476.47%)
rankpruning🧹 Formerly for binary classification with noisy labels. Replaced by cleanlab.
Stars: ✭ 81 (+376.47%)
Sparsely Grouped GanCode for paper "Sparsely Grouped Multi-task Generative Adversarial Networks for Facial Attribute Manipulation"
Stars: ✭ 68 (+300%)
deepOFTensorFlow implementation for "Guided Optical Flow Learning"
Stars: ✭ 26 (+52.94%)
Ali PytorchPyTorch implementation of Adversarially Learned Inference (BiGAN).
Stars: ✭ 61 (+258.82%)
SnapMixSnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data (AAAI 2021)
Stars: ✭ 127 (+647.06%)
Usss iccv19Code for Universal Semi-Supervised Semantic Segmentation models paper accepted in ICCV 2019
Stars: ✭ 57 (+235.29%)
semi-memoryTensorflow Implementation on Paper [ECCV2018]Semi-Supervised Deep Learning with Memory
Stars: ✭ 49 (+188.24%)
Social Media Depression Detector😔 😞 😣 😖 😩 Detect depression on social media using the ssToT method introduced in our ASONAM 2017 paper titled "Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media"
Stars: ✭ 45 (+164.71%)
LadderImplementation of Ladder Network in PyTorch.
Stars: ✭ 37 (+117.65%)
emotion-recognition-GANThis project is a semi-supervised approach to detect emotions on faces in-the-wild using GAN
Stars: ✭ 20 (+17.65%)
specAugmentTensor2tensor experiment with SpecAugment
Stars: ✭ 46 (+170.59%)
Alibi DetectAlgorithms for outlier and adversarial instance detection, concept drift and metrics.
Stars: ✭ 604 (+3452.94%)
ssdg-benchmarkBenchmarks for semi-supervised domain generalization.
Stars: ✭ 46 (+170.59%)
SeeCode for the AAAI 2018 publication "SEE: Towards Semi-Supervised End-to-End Scene Text Recognition"
Stars: ✭ 545 (+3105.88%)
metric-transfer.pytorchDeep Metric Transfer for Label Propagation with Limited Annotated Data
Stars: ✭ 49 (+188.24%)
Ssgan TensorflowA Tensorflow implementation of Semi-supervised Learning Generative Adversarial Networks (NIPS 2016: Improved Techniques for Training GANs).
Stars: ✭ 496 (+2817.65%)
lang2logic-PyTorchPyTorch port of the paper "Language to Logical Form with Neural Attention"
Stars: ✭ 34 (+100%)
AdvsemisegAdversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018
Stars: ✭ 382 (+2147.06%)
Pro-GNNImplementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"
Stars: ✭ 202 (+1088.24%)
Imbalanced Semi Self[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning
Stars: ✭ 379 (+2129.41%)
ucca-parser[SemEval'19] Code for "HLT@SUDA at SemEval 2019 Task 1: UCCA Graph Parsing as Constituent Tree Parsing"
Stars: ✭ 18 (+5.88%)
pywslPython codes for weakly-supervised learning
Stars: ✭ 118 (+594.12%)
DeepAtlasJoint Semi-supervised Learning of Image Registration and Segmentation
Stars: ✭ 38 (+123.53%)
DualStudentCode for Paper ''Dual Student: Breaking the Limits of the Teacher in Semi-Supervised Learning'' [ICCV 2019]
Stars: ✭ 106 (+523.53%)
UnetsImplemenation of UNets for Lung Segmentation
Stars: ✭ 18 (+5.88%)