6394 Open source projects that are alternatives of or similar to Transformer

Time series Timeseries Deep Learning Pytorch fastai - State-of-the-art Deep Learning with Time Series and Sequences in Pytorch / fastai

My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.

Build and train state-of-the-art natural language processing models using BERT

Python implementation of KNN and DTW classification algorithm

Neural question generation using transformers

Natural Language Processing Tutorial for Deep Learning Researchers

Data Augmentation by Backtranslation (DAB) ヽ( •_-)ᕗ

BertQA - Attention on Steroids

Original implementation of the paper "SMILES Transformer: Pre-trained Molecular Fingerprint for Low Data Drug Discovery" by Shion Honda et al.

1st place solution

🍝 Pastas is an open-source Python framework for the analysis of hydrological time series.

python implementations of Analyzing Neural Time Series Textbook

This is a times series anomaly detection algorithm, implemented in Python, for catching multiple anomalies. It uses a moving average with an extreme student deviate (ESD) test to detect anomalous points.

GPT-2 French demo | Démo française de GPT-2

A Multipurpose Library for Synthetic Time Series Generation in Python

fastai V2 implementation of Timeseries classification papers.

[NeurIPS 2020] Official code for the paper "DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation". Includes a PyTorch library for deep learning with SVG data.

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

A small, interpretable codebase containing the re-implementation of a few "deep" NLP models in PyTorch. Colab notebooks to run with GPUs. Models: word2vec, CNNs, transformer, gpt.

Indonesian Language Models and its Usage

A python library for time-series smoothing and outlier detection in a vectorized way.

Anything can happen in the next half hour (including spectral timing made easy)!

[ECCV'2020] STTN: Learning Joint Spatial-Temporal Transformations for Video Inpainting

Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series

Solution to Kaggle - Web Traffic Time Series Forecasting

Tool for visualizing attention in the Transformer model (BERT, GPT-2, Albert, XLNet, RoBERTa, CTRL, etc.)

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

BERT for Multitask Learning

Datasets I have created for scientific summarization, and a trained BertSum model

Electra pre-trained model using Vietnamese corpus

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

Stock Analysis Tutorial in Python

2018-JDDC大赛第4名的解决方案

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

Cryptocurrency Price Prediction Using LSTM neural network

Applying Reinforcement Learning in Quantitative Trading

Official repository for the paper F, B, Alpha Matting

RAD: Reinforcement Learning with Augmented Data

A newer more updated version of the prometheus anomaly detector (https://github.com/AICoE/prometheus-anomaly-detector-legacy)

👩‍🔬 Train and Serve TensorFlow Models at Scale with Kubernetes and Kubeflow on Azure

Book: Introduction to Python for Computational Science and Engineering

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

Python-based utility that uses supervised machine learning to detect phishing domains from the Certificate Transparency log network.

A series of Jupyter notebooks and python files which stream audio from a microphone using pyaudio, then processes it.

Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow

Introduction to Mathematical Computing with Python and Jupyter

Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog

Practical Exercises in TensorFlow 2.0 for Ian Goodfellows Deep Learning Book

Machine Learning for Algorithmic Trading, Second Edition - published by Packt

Rethinking Data Augmentation for Image Super-resolution (CVPR 2020)

The Go kernel for Jupyter notebooks and nteract.

Distance-IoU Loss into YOLO v3

Notebooks for the Altair tutorial

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Pytorch starter kit for Kaggle competitions

An educational demonstration of breaking the Enigma machine

Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)