#

Representation learning

Representation learning is a set of techniques in machine learning that automatically discover compact and meaningful features from raw data. It underpins modern advances in natural language processing, computer vision, and speech recognition.

Here are 1,703 public repositories matching this topic...

transferlearning

jindongwang / transferlearning

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Updated Feb 18, 2025
Python

pliang279 / awesome-multimodal-ml

Reading list for research topics in multimodal machine learning

machine-learning natural-language-processing reinforcement-learning computer-vision deep-learning robotics healthcare reading-list representation-learning speech-processing multimodal-learning

Updated Aug 20, 2024

google-research / simclr

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

computer-vision representation-learning unsupervised-learning self-supervised-learning simclr contrastive-learning simclrv2

Updated May 22, 2023
Jupyter Notebook

baaivision / EVA

EVA Series: Visual Representation Fantasies from BAAI

representation-learning vision-transformer foundation-models

Updated Aug 1, 2024
Python

chihming / awesome-network-embedding

A curated list of network embedding techniques.

knowledge-graph representation-learning network-embedding graph-embeddings

Updated Dec 8, 2020

s3prl

s3prl / s3prl

Self-Supervised Speech Pre-training and Representation Learning Toolkit

Updated Mar 12, 2026
Python

sthalles / SimCLR

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

machine-learning deep-learning pytorch representation-learning unsupervised-learning contrastive-loss torchvision pytorch-implementation simclr

Updated Mar 4, 2024
Jupyter Notebook

github / CodeSearchNet

Datasets, tools, and benchmarks for representation learning of code.

Updated Jan 31, 2022
Jupyter Notebook

microsoft / DeBERTa

The implementation of DeBERTa

deeplearning representation-learning language-model bert natural-language-understanding self-attention roberta transformer-encoder

Updated Sep 29, 2023
Python

Accenture / AmpliGraph

Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org

machine-learning knowledge-graph representation-learning relational-learning graph-embeddings knowledge-graph-embeddings graph-representation-learning

Updated Oct 23, 2026
Python

cambrian-mllm / cambrian

Cambrian-1 is a family of multimodal LLMs with a vision-centric design.

computer-vision chatbot representation-learning clip dino large-language-models llms instruction-tuning mllm multimodal-large-language-models

Updated Nov 7, 2025
Python

shaoxiongji / knowledge-graphs

A collection of research on knowledge graphs

natural-language-processing information-retrieval paper survey knowledge-graph question-answering representation-learning cross-modal knowledge-graph-completion ner dialogue-systems reasoning relation-extraction commonsense temporal-knowledge-graph recommendation-systems meta-relational-learning

Updated Oct 7, 2022
JavaScript

salesforce / ALBEF

Code for ALBEF: a new vision-language pre-training method

representation-learning weakly-supervised-learning image-text vision-and-language contrastive-learning

Updated Sep 20, 2022
Python

SalesforceAIResearch / uni2ts

Unified Training of Universal Time Series Forecasting Transformers

machine-learning deep-learning time-series transformers forecasting representation-learning time-series-forecasting pre-training pre-trained-models universal-forecasting

Updated Jun 2, 2026
Jupyter Notebook

YuanGongND / ast

Code for the Interspeech 2021 paper "AST: Audio Spectrogram Transformer".

audio deep-learning pytorch representation-learning audio-classification keyword-spotting speech-commands speech-classification

Updated May 21, 2023
Jupyter Notebook

Unsupervised-Classification

wvangansbeke / Unsupervised-Classification

SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]

clustering image-classification representation-learning unsupervised-learning moco self-supervised-learning simclr eccv2020 eccv-2020 contrastive-learning

Updated Jul 27, 2023
Python

LirongWu / awesome-graph-self-supervised-learning

Code for TKDE paper "Self-supervised learning on graphs: Contrastive, generative, or predictive"

machine-learning deep-learning transfer-learning representation-learning unsupervised-learning data-augmentation graph-neural-networks self-supervised-learning pre-training pretext-task

Updated Aug 15, 2024

asheeshcric / awesome-contrastive-self-supervised-learning

A comprehensive list of awesome contrastive self-supervised learning papers.

deep-learning transfer-learning representation-learning unsupervised-learning self-supervised-learning hacktoberfest-accepted

Updated Sep 10, 2024

graphvite

DeepGraphLearning / graphvite

GraphVite: A General and High-performance Graph Embedding System

machine-learning gpu cuda data-visualization knowledge-graph representation-learning network-embedding

Updated Jun 14, 2024
C++

UForm

unum-cloud / UForm

Distributed training & inference for multimodal perception: shared embeddings across text, images, video, audio, code & graphs from 64 to 1024 dimensions 🖼️

neural-network clustering multi-lingual pytorch transformer image-search pretrained-models representation-learning clip semantic-search bert multimodal vector-search language-vision contrastive-learning huggingface-transformers cross-attention openclip

Updated Nov 12, 2026
Cuda

Followers: 45 followers
Website: github.com/topics/representation-learning
Wikipedia: Wikipedia