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a-pytorch-tutorial-to-image-captioning

Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning

buaa_daily_report

北航每日健康打卡自动化脚本，我不做人了！

chinese_dictionary

同义词表，反义词表，否定词表

clge

Chinese Language Generation Evaluation 中文生成任务基准测评

clrp-solution

couplet

for not good couplet creating!

couplet_program

Microsoft Artificial Intelligence Course Assignments

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

kaggle_clrp_1st_place_solution

This repository contains code that was used to generate the first place solution in the CommonLit Readability Prize

kernel-calibration

Code to reproduce the experiments from the Neurips 2023 paper "Calibration by Distribution Matching: Trainable Kernel Calibration Metrics"

kkndme

kkndme聊房，数据整理自天涯。提供HTML、PDF和Markdown三种形式。

lstm-deepfm

Code Implement of A Data-driven Self-supervised LSTM-DeepFM Model for Industrial Soft Sensor

mdistiller

The official implementation of [CVPR2022] Decoupled Knowledge Distillation https://arxiv.org/abs/2203.08679 and [ICCV2023] DOT: A Distillation-Oriented Trainer https://openaccess.thecvf.com/content/ICCV2023/papers/Zhao_DOT_A_Distillation-Oriented_Trainer_ICCV_2023_paper.pdf

models

Models and examples built with TensorFlow

mtseckill

京东茅台抢购

paper-reading

prophetnet

ProphetNet: Predicting Future N-gram for Sequence-to-Sequence Pre-training https://arxiv.org/pdf/2001.04063.pdf

pycorrector

pycorrector is a toolkit for text error correction. 文本纠错，Kenlm，Seq2Seq_Attention，BERT，MacBERT，ELECTRA，ERNIE，Transformer等模型实现，开箱即用。

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

pytorchnlpbook

Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info

qcnet

reflection_summary

算法理论基础知识应知应会

reproducing-ml-algorithms

reading Li Hang's book <Statistical Learning>, using pure python (numpy, pandas) to reproducing algorithms.

rul-prediction-using-attention-based-deep-learning-approach

sacgnet-paper-code

this is the code of paper : SACGNet

simulation_work

包括欧拉法，改进欧拉法，四阶经典龙格库塔法，Adam预估校正法

tips-in-tensorflow

Reading the book <Hands-on Machine Learning with sklearn and tensorflow> and write some important codes

transformers

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

tutorials

PyTorch tutorials.

unilm