244 Open source projects that are alternatives of or similar to MSF

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

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

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

PyTorch implementation of SimCLR: supports multi-GPU training and closely reproduces results

Official project website for the CVPR 2021 paper "Exploring intermediate representation for monocular vehicle pose estimation"

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

Whitening for Self-Supervised Representation Learning | Official repository

Awesome Graph Self-Supervised Learning

This repository contains the code implementation used in the paper Temporally Coherent Embeddings for Self-Supervised Video Representation Learning (TCE).

Object-aware Contrastive Learning for Debiased Scene Representation (NeurIPS 2021)

Vector Quantized Autoregressive Predictive Coding (VQ-APC)

Variants of Vision Transformer and its downstream tasks

Self6D++: Occlusion-Aware Self-Supervised Monocular 6D Object Pose Estimation. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2021.

An attempt at the implementation of GLOM, Geoffrey Hinton's paper for emergent part-whole hierarchies from data

An implementation of "Community Preserving Network Embedding" (AAAI 2017)

[NeurIPS 2021 Spotlight] Aligning Pretraining for Detection via Object-Level Contrastive Learning

Meta-embeddings are a probabilistic generalization of embeddings in machine learning.

Representation learning-based graph alignment based on implicit matrix factorization and structural embeddings

The authors' implementation of the "Neural Head Reenactment with Latent Pose Descriptors" (CVPR 2020) paper.

Machine Learning for Spot Prices

An Interactive Approach to Understanding Supervised Learning Algorithms

Generic image compressor for machine learning. Pytorch code for our paper "Lossy compression for lossless prediction".

Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022

Official repository for the ShapeFormer Project

A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design

Code for the paper "DisCont: Self-Supervised Visual Attribute Disentanglement using Context Vectors".

Must-read papers and resources related to causal inference and machine (deep) learning

Mobile(iOS) Text-to-Image search powered by multimodal semantic representation models(e.g., OpenAI's CLIP). Accepted at NAACL 2022.

Tutorials for Machine Learning on Graphs

supervised and semi-supervised image classification with self-supervision (Keras)

Natural World Tasks

A library for evaluating representations.

A curated list of awesome graph & self-supervised-learning-based recommendation.

A document covering machine learning basics. 🤖📊

Master's degree project: Development of a trading algorithm which uses supervised machine learning classification techniques to generate buy/sell signals

What and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment [CVPR 2019]

Pytorch implementation of Feature Generation for Long-Tail Classification by Rahul Vigneswaran, Marc T Law, Vineeth N Balasubramaniam and Makarand Tapaswi

Automatic license plate recognition for Indonesian plate (White on black)

List of Publications in Graph Contrastive Learning

Exploring Simple Siamese Representation Learning

A Repository for maintaining various human skeleton preprocessing steps in numpy and tensorflow along with tensorflow model to learn pose embeddings.

Official PyTorch implementation of Contrastive Learning of Musical Representations

The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models".

No description or website provided.

PyTorch implementation of the InfoNCE loss for self-supervised learning.

[WACV'22] Code repository for the paper "Self-supervised Video Representation Learning with Cross-Stream Prototypical Contrasting", https://arxiv.org/abs/2106.10137.

Implementation of feature engineering from Feature engineering strategies for credit card fraud

This project presents a simple framework to retrieve images similar to a query image.

pair2vec: Compositional Word-Pair Embeddings for Cross-Sentence Inference

Implementation of Barlow Twins paper

In this work, we propose a deterministic version of Local Interpretable Model Agnostic Explanations (LIME) and the experimental results on three different medical datasets shows the superiority for Deterministic Local Interpretable Model-Agnostic Explanations (DLIME).

Unsupervised Representation Learning for Singing Voice Separation

EsViT: Efficient self-supervised Vision Transformers

FUKinect-Fall dataset was created using Kinect V1. The dataset includes walking, bending, sitting, squatting, lying and falling actions performed by 21 subjects between 19-72 years of age.

Animated Visualizations of Popular Machine Learning Algorithms

PyTorch implementation of EMAN for self-supervised and semi-supervised learning: https://arxiv.org/abs/2101.08482

Generalized Deep Metric Learning.

OCR Machine Learning in python

Tensorflow Implementation for paper "self-supervised generative adversarial networks"

A TensorFlow 2.x implementation of Masked Autoencoders Are Scalable Vision Learners