sumhncku's repositories
concurrentqa
This repo contains data and code for the paper "Reasoning over Public and Private Data in Retrieval-Based Systems."
barlowtwins
PyTorch implementation of Barlow Twins.
bert4keras
keras implement of transformers for humans
bpmfvs
注音IVS字型規格 Bopomofo IVS Font Specification
Chinese-BERT-wwm
Pre-Training with Whole Word Masking for Chinese BERT(中文BERT-wwm系列模型)
Deep-Learning-with-TensorFlow-and-Keras-3rd-edition
Deep Learning with TensorFlow and Keras – 3rd edition, Published by Packt
Getting-Things-Done-with-Pytorch
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.
gowajee_corpus
Thai smart home corpus with "Gowajee" hotword
gpubootcamp
This repository consists for gpu bootcamp material for HPC and AI
Informer2020
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
leedeeprl-notes
李宏毅《深度强化学习》笔记,在线阅读地址:https://datawhalechina.github.io/leedeeprl-notes/
LLMs-from-scratch
Implementing a ChatGPT-like LLM from scratch, step by step
mml-book.github.io
Companion webpage to the book "Mathematics For Machine Learning"
Objectron
Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes
price-tracker-bot
Telegram 聊天機器人,追蹤momo降價、重新上架
speech-nlp-datasets
Contains links to publicly available datasets for modeling health outcomes using speech and language.
t81_558_deep_learning
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
Transformers-for-Natural-Language-Processing
Transformers for Natural Language Processing, published by Packt