6259 Open source projects that are alternatives of or similar to Getting Started With Google Bert

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.

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.

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

Electra pre-trained model using Vietnamese corpus

BERT for Multitask Learning

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

BertQA - Attention on Steroids

Neural question generation using transformers

2018-JDDC大赛第4名的解决方案

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

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

Indonesian Language Models and its Usage

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

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.

🧑‍🏫 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, ... 🧠

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

Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.

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

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

[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.

Natural Language Processing Tutorial for Deep Learning Researchers

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

CS224D Assignments

A collection of all projects pertaining to different layers in the SDC software stack

Reproducible Data Analysis Workflow in Jupyter

IPython Notebook for training a word-level Convolutional Neural Network model for sentiment classification task on Yelp-Challenge-2016 review dataset.

ML

Implementation of Excitation Backprop in Caffe

All my experiments with AI and ML

This library holds a collection of Notebooks and code examples for AWS AI Bootcamps.

Bias detection in the news. Back and front end for areyoufakenews.com

Set of scripts and data for reproducing dog breed classification model training, analysis, and inference.

Machine learning with Python tutorial at MSU Data Science 2018

PRML algorithms implemented in Python

IJulia notebooks for AA228/CS238 Decision Making Under Uncertainty course at Stanford University

Skin cancer detection project

Машинное обучение на ФКН ВШЭ

Materials for my scikit-learn tutorial

CapsNet (from "Dynamic Routing Between Capsules") implemented in pytorch.

Material del curso de Deep Learning de la Universidad de Chile

深度学习面试汇总，基本知识点的查漏补缺

Darwin Core

Materials for "Bayesian Methods for Machine Learning" Coursera MOOC

STREAM: Single-cell Trajectories Reconstruction, Exploration And Mapping of single-cell data

Research Methods for Data Science with Python

Tools for pen plotting in Python

Tensorflow 2.0 Quick Start Guide, published by Packt

A End to End CNN Model which predicts the steering wheel angle based on the video/image

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

Python library for interactive topic model visualization. Port of the R LDAvis package.

Re-implementation of the m-RNN model using TensorFLow

Workshop to demonstrate how to apply NN based algorithms to stock market data and forecast price movements.

Harry Potter and the Allocation of Dirichlet

PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3

攻城狮之家B站视频课程课件合集2，1号仓库https://github.com/JokerJohn/bilibili_notes.git

1st place solution for the AntaiCup-International-E-commerce-Artificial-Intelligence-Challenge

Tacotron 2 - PyTorch implementation with faster-than-realtime inference modified to enable cross lingual voice cloning.

Research on Texas Hold'em AI

Multi-turn dialogue baselines written in PyTorch