402 Open source projects that are alternatives of or similar to Stylealign

I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers

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

Awesome Graph Self-Supervised Learning

Code for Universal Semi-Supervised Semantic Segmentation models paper accepted in ICCV 2019

🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥

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

Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"

TengineKit - Free, Fast, Easy, Real-Time Face Detection & Face Landmarks & Face Attributes & Hand Detection & Hand Landmarks & Body Detection & Body Landmarks & Iris Landmarks & Yolov5 SDK On Mobile.

The MXNet Implementation of Stacked Hourglass and Stacked SAT for Robust 2D and 3D Face Alignment

Learned representation for Offline Handwritten Signature Verification. Models and code to extract features from signature images.

Paper Lists, Notes and Slides, Focus on NLP. For summarization, please refer to https://github.com/xcfcode/Summarization-Papers

Pytorch Implementation of the paper MixMatch: A Holistic Approach to Semi-Supervised Learning (https://arxiv.org/pdf/1905.02249.pdf)

High-Level Training, Data Augmentation, and Utilities for Pytorch

The corresponding code from our paper "DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations". Do not hesitate to open an issue if you run into any trouble!

Weakly- and Semi-Supervised Panoptic Segmentation (ECCV18)

Code for Adversarial Training Methods for Semi-Supervised Text Classification

Unsupervised Data Augmentation (UDA)

Python package to corrupt arbitrary images.

Code for reproducing ICT ( published in IJCAI 2019)

One-shot Learning and deep face recognition notebooks and workshop materials

EMNLP 2018: HyTE: Hyperplane-based Temporally aware Knowledge Graph Embedding

Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]

Datasets, tools, and benchmarks for representation learning of code.

Unofficial PyTorch Implementation of Unsupervised Data Augmentation.

a Ready-to-use PyTorch Extension of Unofficial CutMix Implementations with more improved performance.

python api for SeetaFaceEngine(https://github.com/seetaface/SeetaFaceEngine.git)

A TensorFlow implementation of the Mnemonic Descent Method.

Code & data accompanying the KDD 2017 paper "KATE: K-Competitive Autoencoder for Text"

Deep Learning Based Free Mobile Real-Time Face Landmark Detector. Contact:[email protected]

Training & Inference Code of PRNet in PyTorch 1.1.0

All Convolutional Network: (https://arxiv.org/abs/1412.6806#) implementation in Keras

A scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).

The official PyTorch implementation of Towards Fast, Accurate and Stable 3D Dense Face Alignment, ECCV 2020.

Fast audio data augmentation in PyTorch. Inspired by audiomentations. Useful for deep learning.

Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org

[AAAI 2020] Towards Ghost-free Shadow Removal via Dual Hierarchical Aggregation Network and Shadow Matting GAN

实现常用基于深度学习的人脸检测算法

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

A re-implementation of Deep-Alignment-Network using TensorFlow

Implementation with some extensions of the paper "Snowball: Extracting Relations from Large Plain-Text Collections" (Agichtein and Gravano, 2000)

speech to text with self-supervised learning based on wav2vec 2.0 framework

Deforming kernels to adapt towards object deformation. In ICLR 2020.

The code includes all the file that you need in the training stage for FCN

Training code for the networks described in "How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks)" paper.

Semantic Entity Retrieval Toolkit

Real time face alignment

Pytorch implementation of Virtual Adversarial Training

A simpler way of reading and augmenting image segmentation data into TensorFlow

Official project website for the CVPR 2020 paper (Oral Presentation) "Cascaded Deep Monocular 3D Human Pose Estimation With Evolutionary Training Data"

Pytorch implementation of "Graph Convolutional Networks for Text Classification"

[ACM MM 2018] Attribute-Aware Attention Model for Fine-grained Representation Learning

State Representation Learning (SRL) zoo with PyTorch - Part of S-RL Toolbox

TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP

WB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].

Data augmentation using synthetic data for time series classification with deep residual networks

Synthetic Occlusion Augmentation

Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds (CVPR 2020)

Copy-paste augmentation for segmentation and detection tasks

PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"

ConMask model described in paper Open-world Knowledge Graph Completion.