374 Open source projects that are alternatives of or similar to spear

Source code and data for ACL 2019 Long Paper ``Semantic Parsing with Dual Learning".

Awesome-Cross-Domain-Person-Re-identification

PyProphet: Semi-supervised learning and scoring of OpenSWATH results.

Pytorch Implementation of HybridNet: Classification and Reconstruction Cooperation for Semi-Supervised Learning (https://arxiv.org/abs/1807.11407)

Programming Assignments and Lectures for Andrew Ng's "Machine Learning" Coursera course

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

ML algorithm for real-time classification

Invariant representation learning from imaging and spectral data

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

Unsupervised learning of action classes with continuous temporal embedding (CVPR'19)

Experiments on Flood Segmentation on Sentinel-1 SAR Imagery with Cyclical Pseudo Labeling and Noisy Student Training

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

Implementation of linear CorEx and temporal CorEx.

Code for the paper: "SimPLE: Similar Pseudo Label Exploitation for Semi-Supervised Classification"

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

Implementation of experiments in paper "Learning from Rules Generalizing Labeled Exemplars" to appear in ICLR2020 (https://openreview.net/forum?id=SkeuexBtDr)

JCLAL is a general purpose framework developed in Java for Active Learning.

Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in full in this ICML 2021 paper: https://arxiv.org/abs/2102.08622.

Weakly Supervised End-to-End Learning (NeurIPS 2021)

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

Source code of the KDD19 paper "Deep anomaly detection with deviation networks", weakly/partially supervised anomaly detection, few-shot anomaly detection

Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI

Convolutional AutoEncoder application on MRI images

Keras implementation of temporal ensembling(semi-supervised learning)

Joint Semi-supervised Learning of Image Registration and Segmentation

[ICCV2021] Learning to Track Objects from Unlabeled Videos

Active learning for deep object detection using YOLO

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

TOD: GPU-accelerated Outlier Detection via Tensor Operations

Code for the paper Semi-Conditional Normalizing Flows for Semi-Supervised Learning

Experiments on unsupervised point cloud reconstruction.

Image Denoising Codes using STROLLR learning, the Matlab implementation of the paper in ICASSP2017

Pytorch implementation of four neural network based domain adaptation techniques: DeepCORAL, DDC, CDAN and CDAN+E. Evaluated on benchmark dataset Office31.

A PyTorch-based open-source framework that provides methods for improving the weakly annotated data and allows researchers to efficiently develop and compare their own methods.

Python codes for weakly-supervised learning

Official adversarial mixup resynthesis repository

Neural Relation Understanding: neural cardinality estimators for tabular data

Semi-Supervised Learning and Collective Classification

official implemntation for "Contrastive Learning with Stronger Augmentations"

PyTorch Implementation of VAENAR-TTS: Variational Auto-Encoder based Non-AutoRegressive Text-to-Speech Synthesis.

Main component extraction for outlier detection

Vectorized Machine Learning in Python 🐍 From Scratch

Unsupervised machine learning Principal Component Analysis (PCA) on the Dow Jones Industrial Average index and it's respective 30 stocks to construct an optimized diversified intelligent portfolio.

Semisupervided LDA for theory-driven text analysis

Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning, NeurIPS 2021 (Spotlight)

Official Repository of "Contextual Graph Markov Model" (ICML 2018 - JMLR 2020)

Image2Image Translation Research

[ICCVW 2021] Rethinking Content and Style: Exploring Bias for Unsupervised Disentanglement

DDC-Outlier: Preventing medication errors using unsupervised learning

Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE

[CVPR 2021] DeFMO: Deblurring and Shape Recovery of Fast Moving Objects

An unsupervised Chinese word segmentation tool.

Semi-supervised Learning GAN

Unsupervised Representation Learning for Singing Voice Separation

Dual CNN Models for Unsupervised Monocular Depth Estimation

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

Awesome Graph Self-Supervised Learning

A system for quickly generating training data with weak supervision

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

[EMNLP 2021] Mirror-BERT: Converting Pretrained Language Models to universal text encoders without labels.