516 Open source projects that are alternatives of or similar to EC-GAN

fastai V2 implementation of Timeseries classification papers.

Bonnet and then some! Deep Learning Framework for various Image Recognition Tasks. Photogrammetry and Robotics Lab, University of Bonn

Deep Metric Transfer for Label Propagation with Limited Annotated Data

A package that makes it trivial to create and evaluate machine learning pipeline architectures.

Sentinel Hub Cloud Detector for Sentinel-2 images in Python

🧹 Formerly for binary classification with noisy labels. Replaced by cleanlab.

🧠 AI powered image tagger backed by DeepDetect

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

3D image classification using CNN (Convolutional Neural Network)

[CVPR 2022] ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation

Convolutional Neural Networks for Sentence Classification(TextCNN) implements by TensorFlow

Enhance your WordPress content with Artificial Intelligence and Machine Learning services.

Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology. (DEPRECATED)

Apparel detection using deep learning

Implementing Billion-scale semi-supervised learning for image classification using Pytorch

PyTorch implementation of a deep metric learning technique called "Magnet Loss" from Facebook AI Research (FAIR) in ICLR 2016.

Keras implementation of temporal ensembling(semi-supervised learning)

An intuitive library to extract features from time series

TensorFlow implementation for "Guided Optical Flow Learning"

Rinvex Categorizable is a polymorphic Laravel package, for category management. You can categorize any eloquent model with ease, and utilize the power of Nested Sets, and the awesomeness of Sluggable, and Translatable models out of the box.

Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"

Scala Library/REPL for Machine Learning Research

Generalized Product Quantization Network For Semi-supervised Image Retrieval - CVPR 2020

Aspect Based Sentiment Analysis using End-to-End Memory Networks

Active learning for deep object detection using YOLO

Deep-Learning Model Exploration and Development for NLP

HMS ML Demo provides an example of integrating Huawei ML Kit service into applications. This example demonstrates how to integrate services provided by ML Kit, such as face detection, text recognition, image segmentation, asr, and tts.

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

iOS代码混淆插件；A plugin to confuse codes in iOS Platform.

PyTorch Implementation of ByteDance's Cross-speaker Emotion Transfer Based on Speaker Condition Layer Normalization and Semi-Supervised Training in Text-To-Speech

Scalable Time Series Data Analytics

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.

Caffe2 on iOS Real-time Demo. Test with Your Own Model and Photos.

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

PyTorch*-based Neural Network Compression Framework for enhanced OpenVINO™ inference

SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data (AAAI 2021)

Transfer Learning Suite in Keras. Perform transfer learning using any built-in Keras image classification model easily!

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

A Complete and Simple Implementation of MobileNet-V2 in PyTorch

Reproduce some methods in semi-supervised papers.

BERT distillation（基于BERT的蒸馏实验 ）

The code of “Similarity Reasoning and Filtration for Image-Text Matching” [AAAI2021]

LAMA - automatic model creation framework

Official PyTorch implementation of "Proxy Synthesis: Learning with Synthetic Classes for Deep Metric Learning" (AAAI 2021)

Implementing nlp papers relevant to classification with PyTorch, gluonnlp

Invariant representation learning from imaging and spectral data

Official Pytorch Implementation of: "Asymmetric Loss For Multi-Label Classification"(2020) paper

Python codes for weakly-supervised learning

Fake News Detection in Python

Enhancing the BERT training with Semi-supervised Generative Adversarial Networks

Simple API for UCI Machine Learning Dataset Repository (search, download, analyze)

Reimplementation of "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"

PaddlePaddle to ONNX model converter

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

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

基于Tensorflow2开发的优秀扩展包及项目

Semisupervided LDA for theory-driven text analysis

This project is a semi-supervised approach to detect emotions on faces in-the-wild using GAN

Pytorch Implementation of "Adversarial Learning For Semi-Supervised Semantic Segmentation" for ICLR 2018 Reproducibility Challenge

🍊 📊 💡 Orange: Interactive data analysis