LDD's starred repositories
deeplearning.ai-andrewNG
deeplearning.ai , By Andrew Ng, All slide and notebook + data + solutions and video link
neuraloperator
Learning in infinite dimension with neural operators.
predrnn-pp
Code release for "PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive Learning" (ICML 2018)
next-prediction
Code and model for "Peeking into the Future: Predicting Future Person Activities and Locations in Videos", Liang et al, CVPR 2019
video_prediction
Stochastic Adversarial Video Prediction
ReadPapaers
本仓库记录自己读过的一些经典papers
qlib
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.
wenjuanxin
全自动填写问卷星的问卷，支持自定义填空答案，平均两三秒填写一份问卷，可多开几个标签同时刷
awesome-wechat-weapp
微信小程序开发资源汇总 :100:
WeApp_Demos
持续更新中的微信小程序和小游戏的源码案例库。目前涵盖了120多个微信小程序或小游戏。
HashNet_PyTorch
Source code for paper "HashNet: Deep Learning to Hash by Continuation" on ICCV-2017
image-retrieval-resources
Resources relating to Image Retrieval (Papers, Implementations, Datasets, Proof-of-Concepts, Tips and tricks)
deep-mihash
Code for papers "Hashing with Mutual Information" (TPAMI 2019) and "Hashing with Binary Matrix Pursuit" (ECCV 2018)
ColossalAI
Making large AI models cheaper, faster and more accessible
DeepHash-Papers
Must-read papers on deep learning to hash (DeepHash)
TSP_collection
TSP算法全复现：遗传(GA)、粒子群(PSO)、模拟退火(SA)、禁忌搜索(ST)、蚁群算法(ACO)、自自组织神经网络(SOM)
open-source-search-engine
Nov 20 2017 -- A distributed open source search engine and spider/crawler written in C/C++ for Linux on Intel/AMD. From gigablast dot com, which has binaries for download. See the README.md file at the very bottom of this page for instructions.
Computational-Social-Science-Training-Program
This course is a rigorous, year-long introduction to computational social science. We cover topics spanning reproducibility and collaboration, machine learning, natural language processing, and causal inference. This course has a strong applied focus with emphasis placed on doing computational social science.
lowcode-engine
An enterprise-class low-code technology stack with scale-out design / 一套面向扩展设计的企业级低代码技术体系
TermiWatch
Terminal Watch Face for Apple Watch