SuccessMary

annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

coder2gwy

互联网首份程序员考公指南，由3位已经进入体制内的前大厂程序员联合献上。

DRL

Deep Reinforcement Learning

simclr

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

SDM

Sequential deep matching model for recommender system at Alibaba

Trans2D

leetcode

🔥LeetCode solutions in any programming language | 多种编程语言实现 LeetCode、《剑指 Offer（第 2 版）》、《程序员面试金典（第 6 版）》题解

pytorch-image-models

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

slambook2

edition 2 of the slambook

DeepInterestNetwork

ufldl_tutorial

Stanford Unsupervised Feature Learning and Deep Learning Tutorial

Deep-Semantic-Similarity-Model-PyTorch

My PyTorch implementation of the Deep Semantic Similarity Model (DSSM)/Convolutional Latent Semantic Model (CLSM) described here: http://research.microsoft.com/pubs/226585/cikm2014_cdssm_final.pdf.

text_matching

文本匹配的相关模型DSSM,ESIM,ABCNN,BIMPM等，数据集为LCQMC官方数据

DeepLearning

Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现

BERT-pytorch

Google AI 2018 BERT pytorch implementation

simbert

a bert for retrieval and generation

M2GRL

A demo code of KDD2020 paper "M2GRL: A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender Systems"

UnifiedEmbeddingModel

Implementation of unified embedding model from Embedding-based Retrieval in Facebook Search.

autoLiterature

autoLiterature是一个基于Python的自动文献管理命令行工具

bigdatatutorial

bigdatatutorial

Framework-Of-BigData

大数据面试题，从0到1走向架构师之路。Flink、Spark、Hive、HBase、Hadoop、Kettle、Kafka...

sentence-transformers

Multilingual Sentence & Image Embeddings with BERT

LightGBM

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

CS-Xmind-Note

计算机专业课（408）思维导图和笔记：计算机组成原理（第五版 王爱英），数据结构（王道），计算机网络（第七版 谢希仁），操作系统（第四版 汤小丹）

DeepCTR-Torch

【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

Reco-papers

Classic papers and resources on recommendation

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

DeepCTR

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

fucking-algorithm

刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

pytorch-widedeep

A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch