621 Open source projects that are alternatives of or similar to Graph Transformer

an open-source implementation of sequence-to-sequence based speech processing engine

VIP cheatsheets for Stanford's CS 229 Machine Learning

Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version implemented in ONNX.

Autoregressive Predictive Coding: An unsupervised autoregressive model for speech representation learning

Pytorch code for our ICLR 2017 paper "Layered-Recursive GAN for image generation"

Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation"

An Unsupervised Learning Framework for Moving Object Detection From Videos

Julia Implementation of Transformer models

A scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".

A curated list of community detection research papers with implementations.

Training and evaluating a variational autoencoder for pan-cancer gene expression data

Codes for Stylistic Chinese Poetry Generation via Unsupervised Style Disentanglement (EMNLP 2018)

Deep learning using tensorflow

[NeurIPS 2019] Spherical Text Embedding

A framework for integrated Artificial Intelligence & Artificial General Intelligence (AGI)

Flappy Bird AI using Evolution Strategies

R package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, data generation, and recommenders.

A Spark/Scala implementation of the isolation forest unsupervised outlier detection algorithm.

Transformer-based image captioning extension for pytorch/fairseq

The official PyTorch implementation of the paper "Learning by Analogy: Reliable Supervision from Transformations for Unsupervised Optical Flow Estimation".

t-Distributed Stochastic Neighbor Embedding (t-SNE) in Go

[CVPR19] DeepCO3: Deep Instance Co-segmentation by Co-peak Search and Co-saliency (Oral paper)

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

A curated list of pretrained sentence and word embedding models

The authors' implementation of Unsupervised Adversarial Learning of 3D Human Pose from 2D Joint Locations

An unsupervised learning framework for depth and ego-motion estimation from monocular videos

Transformer implementation in PyTorch.

Running BERT without Padding

集成了Tensorflow 2版本的端到端语音识别模型，并且RTF(实时率)在0.1左右/Mandarin State-of-the-art Automatic Speech Recognition in Tensorflow 2

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

This is a repository with the code for the ACL 2019 paper "Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned" and the paper "Analyzing Source and Target Contributions to NMT Predictions".

A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).

Transformer with Untied Positional Encoding (TUPE). Code of paper "Rethinking Positional Encoding in Language Pre-training". Improve existing models like BERT.

Pytorch implementation of "One-Sided Unsupervised Domain Mapping" NIPS 2017

NLP research：基于tensorflow的nlp深度学习项目，支持文本分类/句子匹配/序列标注/文本生成 四大任务

A Compositional Object-Based Approach to Learning Physical Dynamics

code/webpage for the DeepMapping project

Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)

Complete-Life-Cycle-of-a-Data-Science-Project

The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction. In CVPR, 2017.

A stable algorithm for GAN training

Pytorch implementation of "One-Shot Unsupervised Cross Domain Translation" NIPS 2018

Code release for "Canonical Surface Mapping via Geometric Cycle Consistency"

Official Pytorch Implementation for ICML'19 paper: Unsupervised Deep Learning by Neighbourhood Discovery

End-to-End Automatic Speech Recognition on PyTorch

e3d-lstm; Eidetic 3D LSTM A Model for Video Prediction and Beyond

Latent space autoregression for novelty detection.

Unofficial PyTorch Implementation of Unsupervised Data Augmentation.

Understanding the Difficulty of Training Transformers

Gradient Origin Networks - a new type of generative model that is able to quickly learn a latent representation without an encoder

One-Stop Solution to encode sentence to fixed length vectors from various embedding techniques

The standard package for machine learning with noisy labels, finding mislabeled data, and uncertainty quantification. Works with most datasets and models.

OpenAI GPT2 pre-training and sequence prediction implementation in Tensorflow 2.0

An Implementation of 'Attention is all you need' with Chinese Corpus

Fully featured implementation of Routing Transformer

Sentiment analysis neural network trained by fine-tuning BERT, ALBERT, or DistilBERT on the Stanford Sentiment Treebank.

Supplementary material for Hands-On Machine Learning with R, an applied book covering the fundamentals of machine learning with R.

Caffe implementation for "Hidden Two-Stream Convolutional Networks for Action Recognition"

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.