1675 Open source projects that are alternatives of or similar to Transferlearning

FSL-Mate: A collection of resources for few-shot learning (FSL).

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

PyTorch code for NeurIPSW 2020 paper (4th Workshop on Meta-Learning) "Few-Shot Unsupervised Continual Learning through Meta-Examples"

Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)

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

Awesome Graph Self-Supervised Learning

A collection of AWESOME things about domian adaptation

Awesome Domain Adaptation Python Toolbox

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[ICCV 2019 Oral] TA3N: https://github.com/cmhungsteve/TA3N (Most updated repo)

Here is the official implementation of the model KD3A in paper "KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation".

Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem

code for our TPAMI 2021 paper "Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer"

Paper List for Style Transfer in Text

Awesome Multitask Learning Resources

Deep Transfer Learning Papers

Video Representation Learning by Recognizing Temporal Transformations. In ECCV, 2020.

A collection of research on knowledge graphs

Vector Quantized Autoregressive Predictive Coding (VQ-APC)

Repository to track the progress in Meta-Learning (MtL), including the datasets and the current state-of-the-art for the most common MtL problems.

Central Moment Discrepancy for Domain-Invariant Representation Learning (ICLR 2017, keras)

(Minimally) implements SimCLR (https://arxiv.org/abs/2002.05709) in TensorFlow 2.

List of awesome papers on Polarization Imaging

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

A Multi-Class Brain Tumor Classifier using Convolutional Neural Network with 99% Accuracy achieved by applying the method of Transfer Learning using Python and Pytorch Deep Learning Framework

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

Official PyTorch code for CVPR 2020 paper "Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision"

Code for "Groove2Groove: One-Shot Music Style Transfer with Supervision from Synthetic Data"

Summary of machine learning papers

List of useful data augmentation resources. You will find here some not common techniques, libraries, links to github repos, papers and others.

Code for our ACML and INTERSPEECH papers: "Speaker Diarization as a Fully Online Bandit Learning Problem in MiniVox".

Collection of books/papers that I've read/I'm going to read/I would remember that they exist/It is unlikely that I'll read/I'll never read.

Code for paper "Cross-Domain Self-supervised Multi-task Feature Learning using Synthetic Imagery", Ren et al., CVPR'18

Python implementation of bag-of-concepts

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

Official repository of https://arxiv.org/abs/2111.04040v1

Summary of Transformer applications for computer vision tasks.

Ladder Variational Autoencoders (LVAE) in PyTorch

Finetuning any DNN for better embedding on neural search tasks

😎 face releated algorithm, dataset and paper

Implementation of Model-Agnostic Meta-Learning (MAML) applied on Reinforcement Learning problems in TensorFlow 2.

Official PyTorch implementation of "Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning" (ICCV2021 Oral)

[CVPR 2020 VL3] The repository for meta fine-tuning in cross-domain few-shot learning.

DropClass and DropAdapt - repository for the paper accepted to Speaker Odyssey 2020

A curated list of all the Awesome --Topic Name-- lists I've found till date relevant to Data lifecycle, ML and DL.

Learning low-shot object classification with explicit shape bias learned from point clouds

Whitening for Self-Supervised Representation Learning | Official repository

[IJCAI 2021] Cross-Domain Few-Shot Classification via Adversarial Task Augmentation

Meta Self-learning for Multi-Source Domain Adaptation： A Benchmark

One Person, One Model, One World: Learning Continual User Representation without Forgetting

The source code of "Language Models are Few-shot Multilingual Learners" (MRL @ EMNLP 2021)

VAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218.

Tensorflow implementation of Learning Topology from Synthetic Data for Unsupervised Depth Completion (RAL 2021 & ICRA 2021)

Repository for Bilateral Cyclic Constraint and Adaptive Regularization for Unsupervised Monocular Depth Prediction (CVPR2019)

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al.

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[ICLR-2020] Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification.

PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in clustering (CVPR2021)

Learning to Cluster. A deep clustering strategy.

The best resources around Machine Learning