dajiangxiaoyan's Stars
openai/CLIP
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
pytorch/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
pyg-team/pytorch_geometric
Graph Neural Network Library for PyTorch
dmlc/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
shenweichen/DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
uber/causalml
Uplift modeling and causal inference with machine learning algorithms
wzhe06/Ad-papers
Papers on Computational Advertising
datawhalechina/competition-baseline
数据挖掘、计算机视觉、自然语言处理、推荐系统竞赛知识、代码、思路
shenweichen/GraphEmbedding
Implementation and experiments of graph embedding algorithms.
NELSONZHAO/zhihu
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, such as text generation, machine translation, deep convolution GAN and other actual combat code.
williamleif/GraphSAGE
Representation learning on large graphs using stochastic graph convolutions.
princeton-nlp/SimCSE
[EMNLP 2021] SimCSE: Simple Contrastive Learning of Sentence Embeddings https://arxiv.org/abs/2104.08821
phanein/deepwalk
DeepWalk - Deep Learning for Graphs
shenweichen/DeepMatch
A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.
ChenglongChen/tensorflow-DeepFM
Tensorflow implementation of DeepFM for CTR prediction.
ZiyaoGeng/RecLearn
Recommender Learning with Tensorflow2.x
pytorch/torchrec
Pytorch domain library for recommendation systems
uber/petastorm
Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.
dmlc/ps-lite
A lightweight parameter server interface
tensorflow/ecosystem
Integration of TensorFlow with other open-source frameworks
jrzaurin/pytorch-widedeep
A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch
tangxyw/RecSysPapers
推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.
mouna99/dien
wzhe06/SparkCTR
CTR prediction model based on spark(LR, GBDT, DNN)
allegro/allRank
allRank is a framework for training learning-to-rank neural models based on PyTorch.
chenxijun1029/DeepFM_with_PyTorch
A PyTorch implementation of DeepFM for CTR prediction problem.
google/lifetime_value
huangsg1/uncertainty-calibration
A collection of research and application papers of (uncertainty) calibration techniques.
linkedin/spark-tfrecord
Read and write Tensorflow TFRecord data from Apache Spark.
xuetf/KDD_CUP_2020_Debiasing_Rush
Solution to the Debiasing Track of KDD CUP 2020