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ad-papers

Papers on Computational Advertising

awesome-database-learning

A list of learning materials to understand databases internals

awesome-deep-learning-papers-for-search-recommendation-advertising

Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neural Networks, Transfer Learning, Reinforcement Learning, Self-supervised Learning and so on.

awesome-llm-inference

📖A curated list of Awesome LLM Inference Paper with codes, TensorRT-LLM, vLLM, streaming-llm, AWQ, SmoothQuant, WINT8/4, Continuous Batching, FlashAttention, PagedAttention etc.

awesome-system-for-machine-learning

A curated list of research in machine learning systems (MLSys). Paper notes are also provided.

babyagi

bert

TensorFlow code and pre-trained models for BERT

cch

RoutingKit is a C++ library that provides advanced route planning functionality.

colossalai

Making large AI models cheaper, faster and more accessible

contraction-hierarchies

crp

C++ Implementation of Customizable Route Planning (CRP) by Delling et al.

dalle2-pytorch

Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch

deep-learning-papers-reading-roadmap

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

deep-learning-papers-translation

深度学习论文翻译，包括分类论文，检测论文等

deepctr

Easy-to-use,Modular and Extendible package of deep-learning based CTR models.DeepFM,DeepInterestNetwork(DIN),DeepInterestEvolutionNetwork(DIEN),DeepCrossNetwork(DCN),AttentionalFactorizationMachine(AFM),Neural Factorization Machine(NFM),AutoInt

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，近30万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

distiller

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

easyrec

A framework for large scale recommendation algorithms.

fc-custom-demo

Simple examples of using FC custom runtime

gnnpapers

Must-read papers on graph neural networks (GNN)

golang-runtime

Implement golang runtime based on custom runtime

metatransformer

Meta-Transformer for Unified Multimodal Learning

ml-notes

notes about machine learning

nann

A flexible, high-performance framework for large-scale retrieval problems based on TensorFlow.

qix

Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang

raft-zh_cn

Raft一致性算法论文的中文翻译

study

study python c++ .....

tcn

Sequence modeling benchmarks and temporal convolutional networks

tensorflow

An Open Source Machine Learning Framework for Everyone

tensorflow-zh

谷歌全新开源人工智能系统TensorFlow官方文档中文版