yang-chenyu104

annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

Autopilot-Updating-Notes

自动驾驶更新笔记，以解析各模块知识点、整合行业优秀解决方案进行阐述，以帮助自己及有需要的读者；包含深度学习、deeplearning、无人驾驶、BEV、Transformer、ADAS、CVPR2023、特斯拉AI DAY等内容。由于水平有限，文中不妥之处恳请广大读者批评指正。 未完待续........

awesome-bert-nlp

A curated list of NLP resources focused on BERT, attention mechanism, Transformer networks, and transfer learning.

awesome-ocr

Awesome-Table-Recognition

A curated list of resources dedicated to table recognition

BERT-BiLSTM-CRF-NER

Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services

fine-tuning

Close-Domain fine-tuning for table detection

fucking-algorithm

刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

GNN-TableExtraction

Code for ICPR2022 paper: "Graph Neural Networks and Representation Embedding for table extraction in PDF Documents"

google-research

Google Research

ICDAR2021_MFD

1st Solution For ICDAR 2021 Competition on Mathematical Formula Detection（公式检测冠军方案）

im2latex-dataset

Python tools for creating suitable dataset for OpenAI's im2latex task: https://openai.com/requests-for-research/#im2latex

Learn-Data-Science-For-Free

This repositary is a combination of different resources lying scattered all over the internet. The reason for making such an repositary is to combine all the valuable resources in a sequential manner, so that it helps every beginners who are in a search of free and structured learning resource for Data Science. For Constant Updates Follow me in Twitter.

LeetCode_Python

LeetCode with python from 1 to ∞

Mask-CenterNet

Instance Segmentation based on CenterNet

NLP-Models-Tensorflow

Gathers machine learning and Tensorflow deep learning models for NLP problems

openmmlab_work

pml-book

"Probabilistic Machine Learning" - a book series by Kevin Murphy

ppose

PRMLT

Matlab code of machine learning algorithms in book PRML

pyprobml

Python code for "Machine learning: a probabilistic perspective" (2nd edition)

sequence_tagging

Named Entity Recognition (LSTM + CRF) - Tensorflow

TaBERT

This repository contains source code for the TaBERT model, a pre-trained language model for learning joint representations of natural language utterances and (semi-)structured tables for semantic parsing. TaBERT is pre-trained on a massive corpus of 26M Web tables and their associated natural language context, and could be used as a drop-in replacement of a semantic parsers original encoder to compute representations for utterances and table schemas (columns).

table-recognition

Table-Structure_Extraction-Bi-directional-GRU

This repo contains the code for "Table Structure Extraction with Bi-directional Gated Recurrent Unit Networks", ICDAR 2019..

TabRecSet

A large scale camera-taken table detection and recognition dataset.

TabStructNet

TextSimilar

短文本相似度

TGRNet

TGRNet: A Table Graph Reconstruction Network for Table Structure Recognition

torch-template-for-deep-learning

Pytorch Implementations of large number classical backbone CNNs, data enhancement, torch loss, attention, visualization and some common algorithms.