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annotated_deep_learning_paper_implementations

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

awesome-causal-vision

A curated list of research papers in exploring causality in vision. Link to the code if available is also present.

awesome-chatgpt-prompts

This repo includes ChatGPT prompt curation to use ChatGPT better.

awesome-interaction-aware-trajectory-prediction

A selection of state-of-the-art research materials on trajectory prediction

awesome-llms-in-china

**大模型

awesome-pretrained-chinese-nlp-models

Awesome Pretrained Chinese NLP Models，高质量中文预训练模型集合

balanced-tree

Java implementation of AVL tree and red black tree

clash-for-linux-backup

Linux最完整的Clash for Linux的备份仓库，完全可以使用！由Yizuko进行修复及维护

cs224w

This is the NoteBook of Stanford U CS224w

cs305-finalproject

cs305-project-skeleton

The skeleton code of CS305 project

cs323-2022f

Public repo for the course CS323 (Fall 2022) at SUSTech

data-centric-ai

A curated, but incomplete, list of data-centric AI resources.

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

di

doubao_community_frontend

手把手vue+springboot前后端分离项目实战

dragon-book-exercise-answers

Compilers Principles, Techniques, & Tools (purple dragon book) second edition exercise answers. 编译原理（紫龙书）第2版习题答案。

fall

2022 Fall Group Project@SUSTech

finance-and-dsaa-

This is the code about ab-searching

finnlp

fluent-python

Using Jupyter NoteBook to learn the Book "Fluent-Python"

game

Game Theory

gatraj

Official PyTorch Implementation of "GATraj: A Graph- and Attention-based Multi-Agent Trajectory Prediction Model"

hivt

[CVPR 2022] HiVT: Hierarchical Vector Transformer for Multi-Agent Motion Prediction

introduction-to-big-data

Introduction to Big Data

jd331

key-book

《机器学习理论导引》（宝箱书）的证明、案例、概念补充与参考文献讲解。在线阅读地址：https://datawhalechina.github.io/key-book/

lanegcn

[ECCV2020 Oral] Learning Lane Graph Representations for Motion Forecasting

llm

onlineexam-student

基于Vue.js的在线考试系统学生端