eurus-holmes Goto Github PK

mt-reading-list

A machine translation reading list maintained by Tsinghua Natural Language Processing Group

mult

[Reproduce] Code for the ACL2019 paper "Multimodal Transformer for Unaligned Multimodal Language Sequences".

multimodal-attack

multimodaltcga

The Cancer Genome Atlas (TCGA), a landmark cancer genomics program, molecularly characterized over 20,000 primary cancer and matched normal samples spanning 33 cancer types.

nematus

Open-Source Neural Machine Translation in Tensorflow

nlp-tasks

Natural Language Processing Tasks and References

nmt-tensorflow

TensorFlow Neural Machine Translation Tutorial

nni

An open source AutoML toolkit for neural architecture search and hyper-parameter tuning. https://microsoft.github.io/nni/

opennmt-py

Open Source Neural Machine Translation in PyTorch

pythia

A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)

pythia-vqa

Baseline for Visual Question Answering.

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

quantum-simulator

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

research_papers

Record some papers I have read and paper notes I have taken, also including some awesome papers reading lists and academic blog posts.

research_trends

Collect the Best Papers from the Top Conferences, also including statistics and visualization keywords of accepted papers from Top Conferences.

seq2seq-tensorflow

A general-purpose encoder-decoder framework for Tensorflow

stanford-cs224n

CS224n: Natural Language Processing with Deep Learning Assignments Winter, 2017

stanford-cs229

🤖 Exercise answers to the problem sets from the 2017 machine learning course cs229 by Andrew Ng at Stanford

stanford-cs231n

Stanford CS231n Assignments

stanfordnlp

Official Stanford NLP Python Library for Many Human Languages

statistics-base

Code for the book: "Statistical Learning Methods, by Hang Li".

summer2022-internships-1

Collection of Summer 2022 tech internships!

synthtext_ch

[SynthText Chinese] Improved code for generating synthetic text images as described in "Synthetic Data for Text Localisation in Natural Images", Ankush Gupta, Andrea Vedaldi, Andrew Zisserman, CVPR 2016.

transformer

A TensorFlow Implementation of the Transformer: Attention Is All You Need

transformer-xl

transformers

🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.

tsp_self-organizing-maps

Solving the Traveling Salesman Problem using Self-Organizing Maps

tumor2graph

Tumor2Graph: a novel Overall-Tumor-Profile-derived virtual graph deep learning for predicting tumor typing and subtyping.

unilm

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities