Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.

Overview

Pretrained Language Model

This repository provides the latest pretrained language models and its related optimization techniques developed by Huawei Noah's Ark Lab.

Directory structure

  • PanGu-α is a Large-scale autoregressive pretrained Chinese language model with up to 200B parameter. The models are developed under the MindSpore and trained on a cluster of Ascend 910 AI processors.
  • NEZHA-TensorFlow is a pretrained Chinese language model which achieves the state-of-the-art performances on several Chinese NLP tasks developed under TensorFlow.
  • NEZHA-PyTorch is the PyTorch version of NEZHA.
  • NEZHA-Gen-TensorFlow provides two GPT models. One is Yuefu (乐府), a Chinese Classical Poetry generation model, the other is a common Chinese GPT model.
  • TinyBERT is a compressed BERT model which achieves 7.5x smaller and 9.4x faster on inference.
  • TinyBERT-MindSpore is a MindSpore version of TinyBERT.
  • DynaBERT is a dynamic BERT model with adaptive width and depth.
  • BBPE provides a byte-level vocabulary building tool and its correspoinding tokenizer.
  • PMLM is a probabilistically masked language model. Trained without the complex two-stream self-attention, PMLM can be treated as a simple approximation of XLNet.
  • TernaryBERT is a weights ternarization method for BERT model developed under PyTorch.
  • TernaryBERT-MindSpore is the MindSpore version of TernaryBERT.
  • HyperText is an efficient text classification model based on hyperbolic geometry theories.
  • BinaryBERT is a weights binarization method using ternary weight splitting for BERT model, developed under PyTorch.
  • AutoTinyBERT provides a model zoo that can meet different latency requirements.
Owner
HUAWEI Noah's Ark Lab
Working with and contributing to the open source community in data mining, artificial intelligence, and related fields.
HUAWEI Noah's Ark Lab
Adversarial Reweighting for Partial Domain Adaptation

Adversarial Reweighting for Partial Domain Adaptation Code for paper "Xiang Gu, Xi Yu, Yan Yang, Jian Sun, Zongben Xu, Adversarial Reweighting for Par

12 Dec 01, 2022
SEJE Pytorch implementation

SEJE is a prototype for the paper Learning Text-Image Joint Embedding for Efficient Cross-Modal Retrieval with Deep Feature Engineering. Contents Inst

0 Oct 21, 2021
Here I will explain the flow to deploy your custom deep learning models on Ultra96V2.

Xilinx_Vitis_AI This repo will help you to Deploy your Deep Learning Model on Ultra96v2 Board. Prerequisites Vitis Core Development Kit 2019.2 This co

Amin Mamandipoor 1 Feb 08, 2022
UNION: An Unreferenced Metric for Evaluating Open-ended Story Generation

UNION Automatic Evaluation Metric described in the paper UNION: An UNreferenced MetrIc for Evaluating Open-eNded Story Generation (EMNLP 2020). Please

50 Dec 30, 2022
Pytorch implementation of AngularGrad: A New Optimization Technique for Angular Convergence of Convolutional Neural Networks

AngularGrad Optimizer This repository contains the oficial implementation for AngularGrad: A New Optimization Technique for Angular Convergence of Con

mario 124 Sep 16, 2022
OCR Post Correction for Endangered Language Texts

📌 Coming soon: an update to the software including features from our paper on semi-supervised OCR post-correction, to be published in the Transaction

Shruti Rijhwani 96 Dec 31, 2022
Compact Bilinear Pooling for PyTorch

Compact Bilinear Pooling for PyTorch. This repository has a pure Python implementation of Compact Bilinear Pooling and Count Sketch for PyTorch. This

Grégoire Payen de La Garanderie 234 Dec 07, 2022
Image Captioning using CNN and Transformers

Image-Captioning Keras/Tensorflow Image Captioning application using CNN and Transformer as encoder/decoder. In particulary, the architecture consists

24 Dec 28, 2022
Collection of common code that's shared among different research projects in FAIR computer vision team.

fvcore fvcore is a light-weight core library that provides the most common and essential functionality shared in various computer vision frameworks de

Meta Research 1.5k Jan 07, 2023
Disentangled Cycle Consistency for Highly-realistic Virtual Try-On, CVPR 2021

Disentangled Cycle Consistency for Highly-realistic Virtual Try-On, CVPR 2021 [WIP] The code for CVPR 2021 paper 'Disentangled Cycle Consistency for H

ChongjianGE 94 Dec 11, 2022
MILK: Machine Learning Toolkit

MILK: MACHINE LEARNING TOOLKIT Machine Learning in Python Milk is a machine learning toolkit in Python. Its focus is on supervised classification with

Luis Pedro Coelho 610 Dec 14, 2022
pytorch implementation of the ICCV'21 paper "MVTN: Multi-View Transformation Network for 3D Shape Recognition"

MVTN: Multi-View Transformation Network for 3D Shape Recognition (ICCV 2021) By Abdullah Hamdi, Silvio Giancola, Bernard Ghanem Paper | Video | Tutori

Abdullah Hamdi 64 Jan 03, 2023
Event sourced bank - A wide-and-shallow example using the Python event sourcing library

Event Sourced Bank A "wide but shallow" example of using the Python event sourci

3 Mar 09, 2022
Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods for generic non-metric spaces.

Non-Metric Space Library (NMSLIB) Important Notes NMSLIB is generic but fast, see the results of ANN benchmarks. A standalone implementation of our fa

2.9k Jan 04, 2023
A repo with study material, exercises, examples, etc for Devnet SPAUTO

MPLS in the SDN Era -- DevNet SPAUTO Get right to the study material: Checkout the Wiki! A lab topology based on MPLS in the SDN era book used for 30

Hugo Tinoco 67 Nov 16, 2022
Stochastic gradient descent with model building

Stochastic Model Building (SMB) This repository includes a new fast and robust stochastic optimization algorithm for training deep learning models. Th

S. Ilker Birbil 22 Jan 19, 2022
Pytorch domain adaptation package

DomainAdaptation This package is created to tackle the problem of domain shifts when dealing with two domains of different feature distributions. In d

Institute of Computational Perception 7 Oct 22, 2022
Godot RL Agents is a fully Open Source packages that allows video game creators

Godot RL Agents The Godot RL Agents is a fully Open Source packages that allows video game creators, AI researchers and hobbiest the opportunity to le

Edward Beeching 326 Dec 30, 2022
Adversarial examples to the new ConvNeXt architecture

Adversarial examples to the new ConvNeXt architecture To get adversarial examples to the ConvNeXt architecture, run the Colab: https://github.com/stan

Stanislav Fort 19 Sep 18, 2022
Official Implementation (PyTorch) of "Point Cloud Augmentation with Weighted Local Transformations", ICCV 2021

PointWOLF: Point Cloud Augmentation with Weighted Local Transformations This repository is the implementation of PointWOLF(To appear). Sihyeon Kim1*,

MLV Lab (Machine Learning and Vision Lab at Korea University) 16 Nov 03, 2022