601 Open source projects that are alternatives of or similar to KD3A

Easily train or fine-tune SOTA computer vision models with one open source training library

Tensorflow Implementation on Paper [BMVC2018]Deep Association Learning for Unsupervised Video Person Re-identification

Vectorized Machine Learning in Python 🐍 From Scratch

Implementation of linear CorEx and temporal CorEx.

Official code for "Throughput-Optimal Topology Design for Cross-Silo Federated Learning" (NeurIPS'20)

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

Unsupervised Representation Learning for Singing Voice Separation

Pytorch implementation of Deep Reconstruction Classification Networks

No description or website provided.

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

A PyTorch implementation for Unsupervised Domain Adaptation by Backpropagation

ADENINE: A Data ExploratioN PipelINE

Proof of Concept of a Federated Learning framework that maintains the privacy of the participants involved.

FPGA Deployable Fire Detection Model for Real-Time Video Surveillance Systems Using Convolutional Neural Networks

Data and code for our paper "Exploring and Predicting Transferability across NLP Tasks", to appear at EMNLP 2020.

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

VisDA2020: 4th Visual Domain Adaptation Challenge in ECCV'20

A place to keep track of all the annotated papers.

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

PyTorch implementation of the NIPS 2017 paper - Unsupervised Learning of Disentangled Representations from Video

Multiclass image classification using Convolutional Neural Network

Author: Wenhao Yu ([email protected]). EMNLP'20. Transfer Learning for Technical Question Answering.

[AAAI2021] Unsupervised Opinion Summarization with Content Planning

💻Speech and Natural Language Processing (SLP & NLP) Lab Assignments for ECE NTUA

Listing my favorite research papers 📝 from different fields as I read them.

Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)

Healthcare-Researcher-Connector Package: Federated Learning tool for bridging the gap between Healthcare providers and researchers

Unofficial pytorch implementation of algorithms for domain adaptation

Repository for Transfer Learning using Deep CNNs trained with synthetic images

Context-Transformer: Tackling Object Confusion for Few-Shot Detection, AAAI 2020

[ECCV'20] Patch-match and Plane-regularization for Unsupervised Indoor Depth Estimation

Mining Discourse Markers for Unsupervised Sentence Representation Learning

Machine Learning Course @ Santa Clara University

A simple Music Recommendation System

Unsupervised Learning for Optical Flow Estimation Using Pyramid Convolution LSTM.

Projects include the application of transfer learning to build a convolutional neural network (CNN) that identifies the artist of a painting, the building of predictive models for Bitcoin price data using Long Short-Term Memory recurrent neural networks (LSTMs) and a tutorial explaining how to build two types of neural network using as input the…

ML algorithm for real-time classification

This is an official implementation for "Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertising"(KDD2021).

Code repository for paper `Skeleton Merger: an Unsupervised Aligned Keypoint Detector`.

Code for NAACL 2019 paper: Adversarial Category Alignment Network for Cross-domain Sentiment Classification

MinTL: Minimalist Transfer Learning for Task-Oriented Dialogue Systems

Simple and extensible GAN image-to-image translation framework. Supports natural and medical images.

Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons (AAAI 2019)

ML-AI Community | Open Source | Built in Bharat for the World | Data science problem statements and solutions

Pytorch implementation of "A Simple Framework for Contrastive Learning of Visual Representations"

pyMCR: Multivariate Curve Resolution for Python

This is the official implementation of our paper Personalized Transfer of User Preferences for Cross-domain Recommendation (PTUPCDR), which has been accepted by WSDM2022.

Materials of the AI Journey 2020 competition dedicated to the recognition of Peter the Great's manuscripts, https://ai-journey.ru/contest/task01

Persian Bert For Long-Range Sequences

Genre Classification using Convolutional Neural Networks

Convolutional AutoEncoder application on MRI images

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

An alternative implementation of Recursive Feature and Role Extraction (KDD11 & KDD12)

Speech command recognition DenseNet transfer learning from UrbanSound8k in keras tensorflow

Pipeline of a keylogging attack using just an audio signal and unsupervised learning.

Domain Adaptation

Code implementation of the paper "With Great Training Comes Great Vulnerability: Practical Attacks against Transfer Learning", at USENIX Security 2018

📖Learning reinforcement learning by implementing the algorithms from reinforcement learning an introduction

使用预训练好的InceptionV3模型对自己的数据进行分类，用这个代码的同学希望可以给一个star

IMPLEMENT AAAI 2018 - Unsupervised video summarization with deep reinforcement learning (PyTorch)