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b460m-mortar

OPENCORE EFI

cnn-text-classification-tf

Convolutional Neural Network for Text Classification in Tensorflow

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

dive-into-dl-tensorflow2.0

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的同意

embedkgqa

ACL 2020: Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings

gigabyte-b460m-aorus-pro-hackintosh-open-core

glove

GloVe model for distributed word representation

hackintosh

Hackintosh long-term maintenance model EFI and installation tutorial

hackintosh-10400-b460m-mortar

Hackintosh EFI for MSI B460M MORTAR + i5-10400

hackintosh-intel-i5-10400-gigabyte-b460m-aorus-pro-msi-rx5500xt

Hackintosh OpenCore EFI config and kext for MSI B460M AORUS Pro and MSI RX 5500TX Mech

jiant

The jiant toolkit for general-purpose text understanding models

models

Models and examples built with TensorFlow

mosesdecoder

Moses, the machine translation system

qa-survey

北航大数据高精尖中心研究张日崇团队对问答系统的调研。包括知识图谱问答系统（KBQA）和文本问答系统（TextQA），每类系统分别对学术界和工业界进行调研。

research

novel deep learning research works with PaddlePaddle

simpleqa

SimpleQuestions code corresponding to publication at https://arxiv.org/abs/1604.00727

text-classification-cnn-rnn

CNN-RNN中文文本分类，基于TensorFlow

transformers

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

yolov7

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

yolov7_carlicense