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Tokyo University of Agriculture and Technology
- Tokyo, Japan
- https://namtuanly.github.io/
- in/nam-tuan-ly
- https://researchmap.jp/namly?lang=en
- https://www.researchgate.net/profile/Nam-Ly-12
- https://scholar.google.com/citations?user=4n6BDKIAAAAJ&hl=en&authuser=1
Stars
Introduction to Machine Learning Systems
Machine Learning in Finance: From Theory to Practice Book
A comprehensive book on neural networks and large language models in NLP
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
Fast Matrix Multiplications for Lookup Table-Quantized LLMs
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
A Curated List of Awesome Table Structure Recognition (TSR) Research. Including models, papers, datasets and codes. Continuously updating.
[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
SPRINT: Script-agnostic Structure Recognition in Tables
overview of datasets for ML in chemistry
Track, Attend and Parse for Online Handwritten Mathematical Expression Recognition
When Counting Meets HMER: Counting-Aware Network for Handwritten Mathematical Expression Recognition (ECCV’2022 Poster).
Syntax-Aware Network for Handwritten Mathematical Expression Recognition
Official implementation for ICDAR 2021 best poster paper "Handwritten Mathematical Expression Recognition with Bidirectionally Trained Transformer"
Watch, Attend and Parse for Handwritten Mathematical Expression Recognition
Image augmentation for machine learning experiments.
We collect papers about "large language models (LLM) for table-related tasks", e.g., using LLM for Table QA task. “表格+LLM”相关论文整理
Awesome-LLM-Tabular: a curated list of Large Language Model applied to Tabular Data
https://dl.acm.org/doi/10.1145/3657281
An up-to-date list of works on Multi-Task Learning
This repository offers video-based tutorials on Deep Learning concepts along with practical implementations using Python, TensorFlow, and Keras. It is designed for students, educators, and self-lea…
All Algorithms implemented in Python
A curated list of awesome computer vision resources(深度学习、计算机视觉优质资料整理),包含各个视觉方向,常用的框架使用手册,经典的教程代码实战和公式推导
MTL-TabNet: Multi-task Learning based Model for Image-based Table Recognition