beekbin

algorithms

implementation of classic computer science algorithms

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

AutomaticKeyphraseExtraction

Data for Automatic Keyphrase Extraction Task

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

bert-cosine-sim

Fine-tune BERT to generate sentence embedding for cosine similarity

minHeap

simple version of the min-Heap structure; similar to java.util.PriorityQueue.

rnnEssay

An essay about how to implement RNN/LSTM

simpleCNN

A simple neural networks framework with CNN + Pooling layer (python + numpy)

SimpleNN

build a simple Neural Network framework from scratch and test it on MNIST.

simpleRNN

A simple neural networks framework with RNN layers (python + numpy)

beekbin/bert-cosine-sim

Fine-tune BERT to generate sentence embedding for cosine similarity

beekbin/attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

beekbin/bert

TensorFlow code and pre-trained models for BERT

beekbin/BERT-KPE

beekbin/BERT-NER

Pytorch-Named-Entity-Recognition-with-BERT

beekbin/BLINK

Entity Linker solution

beekbin/capsnet_pytorch

PyTorch implementation of Geoffrey Hinton's Dynamic Routing Between Capsules

beekbin/ComiRec

Source code and dataset for KDD 2020 paper "Controllable Multi-Interest Framework for Recommendation"

beekbin/d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge.

beekbin/deepo

Set up deep learning environment in a single command line.

beekbin/DeepPavlov

An open source library for deep learning end-to-end dialog systems and chatbots.

beekbin/examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

beekbin/fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

beekbin/few-shot

Repository for few-shot learning machine learning projects

beekbin/GLUE-baselines

[DEPRECATED] Repo for exploring multi-task learning approaches to learning sentence representations

beekbin/gpt-2-simple

Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts

beekbin/Megatron-LM

Ongoing research training transformer language models at scale, including: BERT

beekbin/mt-dnn

Multi-Task Deep Neural Networks for Natural Language Understanding

beekbin/multi_armed_thompson

python module to solve the multi armed bandit problem with Thompson sampling

beekbin/OpenKP

Automatically extracting keyphrases that are salient to the document meanings is an essential step to semantic document understanding. An effective keyphrase extraction (KPE) system can benefit a wide range of natural language processing and information retrieval tasks. Recent neural methods formulate the task as a document-to-keyphrase sequence-to-sequence task. These seq2seq learning models have shown promising results compared to previous KPE systems The recent progress in neural KPE is mostly observed in documents originating from the scientific domain. In real-world scenarios, most potential applications of KPE deal with diverse documents originating from sparse sources. These documents are unlikely to include the structure, prose and be as well written as scientific papers. They often include a much diverse document structure and reside in various domains whose contents target much wider audiences than scientists. To encourage the research community to develop a powerful neural model with key phrase extraction on open domains we have created OpenKP: a dataset of over 150,000 documents with the most relevant keyphrases generated by expert annotation.

beekbin/paraphrase_identification

Examine two sentences and determine whether they have the same meaning.

beekbin/pytext

A natural language modeling framework based on PyTorch

beekbin/pytorch-pretrained-BERT

📖The Big-&-Extending-Repository-of-Transformers: Pretrained PyTorch models for Google's BERT, OpenAI GPT & GPT-2, Google/CMU Transformer-XL.

beekbin/RecSys2019_DeepLearning_Evaluation

This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches"

beekbin/siamese-triplet

Siamese and triplet networks with online pair/triplet mining in PyTorch

beekbin/subword-nmt

Unsupervised Word Segmentation for Neural Machine Translation and Text Generation

beekbin/text-to-text-transfer-transformer

beekbin/thompson

Thompson Sampling Tutorial

beekbin/xlnet

XLNet: Generalized Autoregressive Pretraining for Language Understanding

beekbin/xtreme

XTREME is a benchmark for the evaluation of the cross-lingual generalization ability of pre-trained multilingual models that covers 40 typologically diverse languages and includes nine tasks.