Stars
TensorFlow code and pre-trained models for BERT
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
Source code for the X Recommendation Algorithm
Hyperbolic Graph Convolutional Networks in PyTorch.
Curvlearn, a Tensorflow based non-Euclidean deep learning framework.
An index of algorithms for learning causality with data
Multi-thread implementation of Factorization Machines with FTRL for binary-class classification problem.
RSTutorials: A Curated List of Must-read Papers on Recommender System.
guojiangwei2 / Ad-papers
Forked from princewen/Ad-papersPapers on Computational Advertising
Python implementation of the rulefit algorithm
A General-purpose Task-parallel Programming System in C++
Roaring bitmaps in C (and C++), with SIMD (AVX2, AVX-512 and NEON) optimizations: used by Apache Doris, ClickHouse, Alibaba Tair, Redpanda, YDB and StarRocks
Official Repository for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]
This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, suc…
keras implement of transformers for humans
A curated list of awesome resources about Recommender Systems.
Learning embeddings for classification, retrieval and ranking.
A collection of research and survey papers of real-time bidding (RTB) based display advertising techniques.
Classic papers and resources on recommendation
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
TensorFlow implemenation of GRu4Rec model
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Common library for serving TensorFlow, XGBoost and scikit-learn models in production.
Multi-Task Deep Neural Networks for Natural Language Understanding
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk