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Search results for jupyter notebook representation learning
jupyter-notebook
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representation-learning
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66 search results found
Simclr
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3,525
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
Simclr
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1,745
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
Ast
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706
Code for the Interspeech 2021 paper "AST: Audio Spectrogram Transformer".
Open Metric Learning
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699
Library for metric learning pipelines and models.
Vl Bert
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680
Code for ICLR 2020 paper "VL-BERT: Pre-training of Generic Visual-Linguistic Representations".
Modelsgenesis
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674
[MICCAI 2019] [MEDIA 2020] Models Genesis
Tokenize Anything
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325
Tokenize Anything via Prompting
Link Prediction
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216
Representation learning for link prediction within social networks
Simclr Pytorch
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140
PyTorch implementation of SimCLR: supports multi-GPU training and closely reproduces results
Sigver_wiwd
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125
Learned representation for Offline Handwritten Signature Verification. Models and code to extract features from signature images.
Image_embeddings
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115
Using efficientnet to provide embeddings for retrieval
Parametricumap_paper
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112
Parametric UMAP embeddings for representation and semisupervised learning. From the paper "Parametric UMAP: learning embeddings with deep neural networks for representation and semi-supervised learning" (Sainburg, McInnes, Gentner, 2020).
Entity Embed
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98
PyTorch library for transforming entities like companies, products, etc. into vectors to support scalable Record Linkage / Entity Resolution using Approximate Nearest Neighbors.
Pytorch Byol
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94
PyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning
Simper
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84
[ICLR 2023, Oral] SimPer: Simple Self-Supervised Learning of Periodic Targets
Batter Pitcher 2vec
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80
A model for learning distributed representations of MLB players.
Ds Ga 1011 Fall2017
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79
DS-GA-1011 Natural Language Processing with Representation Learning
Swav Tf
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72
TensorFlow implementation of "Unsupervised Learning of Visual Features by Contrasting Cluster Assignments".
Graphml Tutorials
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63
Tutorials for Machine Learning on Graphs
Flip
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61
A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design
Turl
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48
Code and data for "TURL: Table Understanding through Representation Learning"
Topoembedx
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46
Representation Learning on Topological Domains
Robustness Foundation Models
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45
This repository holds code and other relevant files for the NeurIPS 2022 tutorial: Foundational Robustness of Foundation Models.
Code Samples
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42
Holds code for our CVPR'23 tutorial: All Things ViTs: Understanding and Interpreting Attention in Vision.
Supervised Contrastive Learning In Tensorflow 2
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42
Implements the ideas presented in https://arxiv.org/pdf/2004.11362v1.pdf by Khosla et al.
Anatome
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37
Ἀνατομή is a PyTorch library to analyze representation of neural networks
Online Node2vec
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36
Node Embeddings in Dynamic Graphs
Tailcalibx
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32
Pytorch implementation of Feature Generation for Long-Tail Classification by Rahul Vigneswaran, Marc T Law, Vineeth N Balasubramaniam and Makarand Tapaswi
Vq Vae
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30
Pytorch Implementation of "Neural Discrete Representation Learning"
Barlow Twins Tf
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26
TensorFlow implementation of Barlow Twins (https://arxiv.org/abs/2103.03230).
Neuralbayes
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24
Image Box Overlap
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23
[ECCV 2020] Training neural networks to predict visual overlap of images, through interpretable non-metric box embeddings
Paws Tf
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22
Minimal implementation of PAWS (https://arxiv.org/abs/2104.13963) in TensorFlow.
A Barebones Image Retrieval System
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19
This project presents a simple framework to retrieve images similar to a query image.
Regan
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18
Simple implementation of Repurposing GANs for segmentation
Meta Learning Without Memorization
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17
A study about the following problems: what is the memorization problem in meta-learning; why does memorization problem happen; and how to prevent it. (ICLR 2020)
Self Supervised Learning By Context Prediction
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16
Implementation of "Unsupervised Visual Representation Learning by Context Prediction" by C. Doersh, A. Gupta and A. A. Efros
Rl_representations
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16
Learning representations for RL in Healthcare under a POMDP assumption
Drml
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16
Official Code Release for Diagnosing and Rectifying Vision Models using Language
Isd
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14
ISD: Self-Supervised Learning by Iterative Similarity Distillation
Leap
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13
LEAP is a tool for discovering latent temporal causal relations with gradient-based neural network.
Cropmix
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13
Code of CropMix: Sampling a Rich Input Distribution via Multi-Scale Cropping
Iplan
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12
iPLAN: Intent-Aware Planning in Heterogeneous Traffic via Distributed Multi-Agent Reinforcement Learning
Ws 18 19 Deep Learning Tutorial
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12
Deep Learning and Artificial Intelligence Tutorial @ LMU WS 2018/19
Geniml
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12
Genomic interval machine learning
Leap
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11
LEAP is a novel tool for discovering latent temporal causal relations.
Virdo
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11
Github repository of a Visio-tactile Implicit Representations of Deformable Objects (ICRA 2022)
Pai Bpr
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10
Repository for PAI-BPR a state of the art Fashion recommendation system capturing user personal preference and attribute interpretability
Graph_ml
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10
Course: Graph Machine Learning focuses on the application of machine learning algorithms on graph-structured data. Some of the key topics that are covered in the course include graph representation learning and graph neural networks, algorithms for the world wide web, reasoning over knowledge graphs, and social network analysis.
Manifoldmixup
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10
ManifoldMixup with support for Interpolated Adversarial training
Simec
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10
Similarity Encoder (SimEc) Neural Network Framework for learning low dimensional similarity preserving representations
Pypsps
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9
Predictive State Propensity Subclassification (PSPS): A causal deep learning algoritm in TensorFlow keras
Representation_learning
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8
This repository contains supplementary material for the book "Representation learning: propositionalization and embeddings"
Knn Defense
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8
Adversarial Examples on KNN (and its neural network friends)
Ssl Risk Decomposition
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8
Benchmark and analysis of 165 pretrained SSL models. Code for "Evaluating Self-Supervised Learning via Risk Decomposition".
Phage Host Prediction
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7
Published in PLOS ONE. We show that using embeddings of receptor-binding proteins presents improvements over handcrafted genomic and protein sequence features for phage-host interaction prediction — with the highest performance obtained using the transformer-based protein language model ProtT5
Relreps
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7
Relative representations can be leveraged to enable solving tasks regarding "latent communication": from zero-shot model stitching to latent space comparison between diverse settings.
Persona2vec
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6
Persona2vec: A Flexible Multi-role Representations Learning Framework for Graphs
Predictive Coding
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6
Research of a deep predictive coding model for unsupervised representation learning from video and audio data.
Monet
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6
Object representation learning
Hosgns
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6
Data and code repository from "Time-varying graph representation learning via higher-order skip-gram with negative sampling"
Pcapae
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6
convGRU based autoencoder for unsupervised & spatial-temporal anomaly detection in computer network traffic
Lowdimrt
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6
Low Dimensional Radiotherapy [PMB'23]
Hierarchical Language Modeling
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5
We address the task of learning contextualized word, sentence and document representations with a hierarchical language model by stacking Transformer-based encoders on a sentence level and subsequently on a document level and performing masked token prediction.
Mine
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5
Keras implementation (only for tensorflow backend) of MINE: Mutual Information Neural Estimation
Gvnr
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5
Python package for the paper "Global Vectors for Node Representation" (https://arxiv.org/pdf/1902.11004.pdf)
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