7273 Open source projects that are alternatives of or similar to Bertqa Attention On Steroids

2018-JDDC大赛第4名的解决方案

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.

Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.

Natural Language Processing Tutorial for Deep Learning Researchers

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.

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

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

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

End-to-end ASR/LM implementation with PyTorch

SpaCy 中文模型 | Models for SpaCy that support Chinese

A PyTorch implementation of Speech Transformer, an End-to-End ASR with Transformer network on Mandarin Chinese.

Simple implementations of NLP models. Tutorials are written in Chinese on my website https://mofanpy.com

[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.

A wrapper around tensor2tensor to flexibly train, interact, and generate data for neural chatbots.

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

Official and maintained implementation of the paper Attention-Based Transformers for Instance Segmentation of Cells in Microstructures [BIBM 2020].

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

Apache Spark - Turbofan Engine Degradation Simulation Data Set example in Apache Spark

Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.

list of efficient attention modules

AI SDTM mapping (R for ML, Python, TensorFlow for DL)

Real Time News Scraping and Recommendation System - React | Tensorflow | NLP | News Scrapers

Detects Chinese traffic police commanding poses 检测中国交警指挥手势

论文“Attention-over-Attention Neural Networks for Reading Comprehension”中AoA模型实现

📖 Labeled examples from wiki dumps in Python

Indonesian Language Models and its Usage

A driving dataset for the development and validation of fused pose estimators and mapping algorithms

VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition (ICCV 2017)

Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP

BERT for Multitask Learning

The hands-on NLTK tutorial for NLP in Python

🎹 symbolic musical datasets

Repository for the paper "Automated Hate Speech Detection and the Problem of Offensive Language", ICWSM 2017

Implementation of State-of-the-art Text Classification Models in Pytorch

COVID-CT-Dataset: A CT Scan Dataset about COVID-19

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.

Use tensorflow to achieve some NLP project, eg: classification chatbot ner attention QAetc.

Evaluation of the CNN design choices performance on ImageNet-2012.

implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)

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

Neural question generation using transformers

A simple PyTorch Implementation of Generative Adversarial Networks, focusing on anime face drawing.

The dataset is used to train my own raccoon detector and I blogged about it on Medium

Improving Convolutional Networks via Attention Transfer (ICLR 2017)

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

COVID-Net Open Source Initiative - Models and Data for COVID-19 Detection in Chest CT

My Attempt(s) In The World Of ML/DL....

R package to interface with OpenML

Electra pre-trained model using Vietnamese corpus

CubiCasa5k floor plan dataset

Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes

FMA: A Dataset For Music Analysis

An open-source neural machine translation system developed by Natural Language Processing Group, Nanjing University.

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

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

Dataset to assess the disentanglement properties of unsupervised learning methods

[ISBI'21] MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for Medical Image Analysis