Jessilee's repositories
awesome-graph-classification
A collection of important graph embedding, classification and representation learning papers with implementations.
An-Introduction-to-Statistical-Learning
This repository contains the exercises and its solution contained in the book An Introduction to Statistical Learning in python.
awesome-question-answering
Resources, datasets, papers on Question Answering
Friendly-Adversarial-Training
Attacks Which Do Not Kill Training Make Adversarial Learning Stronger (ICML2020 Paper)
GNNPapers
Must-read papers on graph neural networks (GNN)
Graph-Neural-Networks-With-Heterophily
This repository contains the resources on graph neural network (GNN) considering heterophily.
higher-order-organization-matlab
Experimental Matlab code for methods and some examples in "Higher-order organization of complex networks"
ImportanceSamplingSGD
Importance Sampled SGD
Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
machine-learning-notes
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1500+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(1500+页)和视频链接
neural_network_papers
记录一些读过的论文，给出个人对论文的评分情况并简述论文insight
NLP-progress
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
NotionNext
一个使用 NextJS + Notion API 实现的，部署在 Vercel 上的静态博客系统。为Notion和所有创作者设计。
openface-1
Face recognition with deep neural networks.
RAKE-tutorial
A python implementation of the Rapid Automatic Keyword Extraction
scene_generation
A PyTorch implementation of the paper: Specifying Object Attributes and Relations in Interactive Scene Generation
TNN
TNN: developed by Tencent Youtu Lab and Guangying Lab, a lightweight and high-performance deep learning framework for mobile inference. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework. TNN：由腾讯优图实验室和光影实验室协同打造，移动端高性能、轻量级推理框架，同时拥有跨平台、高性能、模型压缩、代码裁剪等众多突出优势。TNN框架在原有Rapidnet、ncnn框架的基础上进一步加强了移动端设备的支持以及性能优化，同时也借鉴了业界主流开源框架高性能和良好拓展性的优点。目前TNN已经在手Q、微视、P图等应用中落地，欢迎大家参与协同共建，促进TNN推理框架进一步完善。