twpca🕝 Time-warped principal components analysis (twPCA)
Stars: ✭ 118 (-10.61%)
sefA Python Library for Similarity-based Dimensionality Reduction
Stars: ✭ 24 (-81.82%)
PaddlehelixBio-Computing Platform featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集
Stars: ✭ 213 (+61.36%)
GraphMixCode for reproducing results in GraphMix paper
Stars: ✭ 64 (-51.52%)
COCO-LM[NeurIPS 2021] COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining
Stars: ✭ 109 (-17.42%)
SimclrSimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
Stars: ✭ 2,720 (+1960.61%)
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 (-65.15%)
Stylealign[ICCV 2019]Aggregation via Separation: Boosting Facial Landmark Detector with Semi-Supervised Style Transition
Stars: ✭ 172 (+30.3%)
Machine Learning With PythonPractice and tutorial-style notebooks covering wide variety of machine learning techniques
Stars: ✭ 2,197 (+1564.39%)
Deformable KernelsDeforming kernels to adapt towards object deformation. In ICLR 2020.
Stars: ✭ 166 (+25.76%)
PCC-pytorchA pytorch implementation of the paper "Prediction, Consistency, Curvature: Representation Learning for Locally-Linear Control"
Stars: ✭ 57 (-56.82%)
Srl ZooState Representation Learning (SRL) zoo with PyTorch - Part of S-RL Toolbox
Stars: ✭ 125 (-5.3%)
HARRecognize one of six human activities such as standing, sitting, and walking using a Softmax Classifier trained on mobile phone sensor data.
Stars: ✭ 18 (-86.36%)
Multi object datasetsMulti-object image datasets with ground-truth segmentation masks and generative factors.
Stars: ✭ 121 (-8.33%)
MTL-AQAWhat and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment [CVPR 2019]
Stars: ✭ 38 (-71.21%)
Sigver wiwdLearned representation for Offline Handwritten Signature Verification. Models and code to extract features from signature images.
Stars: ✭ 112 (-15.15%)
tGPLVMtGPLVM: A Nonparametric, Generative Model for Manifold Learning with scRNA-seq experimental data
Stars: ✭ 16 (-87.88%)
anatomeἈνατομή is a PyTorch library to analyze representation of neural networks
Stars: ✭ 50 (-62.12%)
ModelsgenesisOfficial Keras & PyTorch Implementation and Pre-trained Models for Models Genesis - MICCAI 2019
Stars: ✭ 416 (+215.15%)
PointglrGlobal-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds (CVPR 2020)
Stars: ✭ 86 (-34.85%)
lfdaLocal Fisher Discriminant Analysis in R
Stars: ✭ 74 (-43.94%)
IceICE: Item Concept Embedding
Stars: ✭ 83 (-37.12%)
mosesStreaming, Memory-Limited, r-truncated SVD Revisited!
Stars: ✭ 19 (-85.61%)
AsneA sparsity aware and memory efficient implementation of "Attributed Social Network Embedding" (TKDE 2018).
Stars: ✭ 73 (-44.7%)
dmlR package for Distance Metric Learning
Stars: ✭ 58 (-56.06%)
PC3-pytorchPredictive Coding for Locally-Linear Control (ICML-2020)
Stars: ✭ 16 (-87.88%)
DogtorchWho Let The Dogs Out? Modeling Dog Behavior From Visual Data https://arxiv.org/pdf/1803.10827.pdf
Stars: ✭ 66 (-50%)
bhtsneParallel Barnes-Hut t-SNE implementation written in Rust.
Stars: ✭ 43 (-67.42%)
CodeslamImplementation of CodeSLAM — Learning a Compact, Optimisable Representation for Dense Visual SLAM paper (https://arxiv.org/pdf/1804.00874.pdf)
Stars: ✭ 64 (-51.52%)
causal-mlMust-read papers and resources related to causal inference and machine (deep) learning
Stars: ✭ 387 (+193.18%)
Gat2vecrepresentation learning on attributed graphs
Stars: ✭ 48 (-63.64%)
ezancestryEasy genetic ancestry predictions in Python
Stars: ✭ 38 (-71.21%)
Meta EmbMultilingual Meta-Embeddings for Named Entity Recognition (RepL4NLP & EMNLP 2019)
Stars: ✭ 28 (-78.79%)
adenineADENINE: A Data ExploratioN PipelINE
Stars: ✭ 15 (-88.64%)
Knowledge GraphsA collection of research on knowledge graphs
Stars: ✭ 845 (+540.15%)
reprieveA library for evaluating representations.
Stars: ✭ 68 (-48.48%)
SimclrPyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
Stars: ✭ 750 (+468.18%)
walkletsA lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).
Stars: ✭ 94 (-28.79%)
DebertaThe implementation of DeBERTa
Stars: ✭ 541 (+309.85%)
Vl BertCode for ICLR 2020 paper "VL-BERT: Pre-training of Generic Visual-Linguistic Representations".
Stars: ✭ 493 (+273.48%)
topometryA comprehensive dimensional reduction framework to recover the latent topology from high-dimensional data.
Stars: ✭ 64 (-51.52%)
S3prlSelf-Supervised Speech Pre-training and Representation Learning Toolkit.
Stars: ✭ 422 (+219.7%)
Machine LearningA repository of resources for understanding the concepts of machine learning/deep learning.
Stars: ✭ 29 (-78.03%)
50-days-of-Statistics-for-Data-ScienceThis repository consist of a 50-day program. All the statistics required for the complete understanding of data science will be uploaded in this repository.
Stars: ✭ 19 (-85.61%)
TCEThis repository contains the code implementation used in the paper Temporally Coherent Embeddings for Self-Supervised Video Representation Learning (TCE).
Stars: ✭ 51 (-61.36%)
scarfToolkit for highly memory efficient analysis of single-cell RNA-Seq, scATAC-Seq and CITE-Seq data. Analyze atlas scale datasets with millions of cells on laptop.
Stars: ✭ 54 (-59.09%)
uapcaUncertainty-aware principal component analysis.
Stars: ✭ 16 (-87.88%)
DRComparisonComparison of dimensionality reduction methods
Stars: ✭ 29 (-78.03%)
pgdlWinning Solution of the NeurIPS 2020 Competition on Predicting Generalization in Deep Learning
Stars: ✭ 36 (-72.73%)
enstopEnsemble topic modelling with pLSA
Stars: ✭ 104 (-21.21%)