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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, ... 🧠

bert

TensorFlow code and pre-trained models for BERT

bootstrap

The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.

brain-cog

Brain-inspired Cognitive Intelligence Engine (BrainCog) is a brain-inspired spiking neural network based platform for Brain-inspired Artificial Intelligence and simulating brains at multiple scales. The long term goal of BrainCog is to provide a comprehensive theory and system to decode the mechanisms and principles of human intelligence and its evolution, and develop artificial brains for brain-inspired conscious living AI in future Human-AI symbiotic Society.

causal-inference-tutorial

Repository with code and slides for a tutorial on causal inference.

chinese-poetry

The most comprehensive database of Chinese poetry 🧶最全中华古诗词数据库, 唐宋两朝近一万四千古诗人, 接近5.5万首唐诗加26万宋诗. 两宋时期1564位词人，21050首词。

cikm-cup-2017

CIKM AnalytiCup 2017: Short-Term Precipitation Forecasting Based on Radar Reflectivity Images

colossalai

Colossal-AI: A Unified Deep Learning System for Large-Scale Parallel Training

convnetdraw

Draw multi-layer neural network in your browser

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

data-dmrp

datasets_knowledge_embedding

Datasets for Knowledge Graph Completion with textual information about the entities

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

gatne

Source code and dataset for KDD 2019 paper "Representation Learning for Attributed Multiplex Heterogeneous Network"

gensim

Topic Modelling for Humans

gmnn

Graph Markov Neural Networks

gowxdump

SharpWxDump的Go语言版。微信客户端取证，获取信息(微信号、手机号、昵称)，微信聊天记录分析(Top N聊天的人、统计聊天最频繁的好友排行、关键词列表搜索等)

grape

🍇 GRAPE is a Rust/Python Graph Representation Learning library for Predictions and Evaluations

hello-world

ideas& resources/ share and discuss things

helloworld

my first practise

ipercore

Liquid Warping GAN with Attention: A Unified Framework for Human Image Synthesis

kgs-survey

This is a repository of knowledge graphs survey paper that will be updated periodically.

machine-learning-in-action

⚡️⚡️⚡️《机器学习实战》代码（基于Python3）🚀

mathematical-contest-in-modeling

Mathematical Contest in Modeling (Paper, Method, Code, Latex Templete)

model_causal_inference_example

因果推断虚构案例, 演示 standardizing 和 IP weighting 两种方法

mtsn

multirelational-poincare

Multi-relational Poincaré Graph Embeddings

nndl.github.io

《神经网络与深度学习》 Neural Network and Deep Learning