silpara
Work: AI, ML, DL, Statistics. Life: Reading, Listening, Running. Blog: silpara.medium.com
Meesho, Airtel X Labs, Swiggy, [24]7.ai
silpara's Stars
adam-maj/deep-learning
A deep-dive on the entire history of deep-learning
hasteck/Higher_Recsys_2021
massquantity/LibRecommender
Versatile End-to-End Recommender System
shenweichen/DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
reczoo/FuxiCTR
A configurable, tunable, and reproducible library for CTR prediction https://fuxictr.github.io
Meesho/llm_calculator
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.
Meesho/spark_calibration
Spark Calibration - A python package for calibrating probabilities predicted by ML model involving large training & test datasets as spark dataframes
cdarlint/winutils
winutils.exe hadoop.dll and hdfs.dll binaries for hadoop windows
f/awesome-chatgpt-prompts
This repo includes ChatGPT prompt curation to use ChatGPT better.
AliVard/trust-bias-CIKM2020
sebastian-hofstaetter/teaching
Open-Source Information Retrieval Courses @ TU Wien
david-cortes/cmfrec
(Python, R, C) Collective (multi-view/multi-way) matrix factorization, including cold-start functionality (recommender systems, imputation, dimensionality reduction)
MaartenGr/BERTopic
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
Feiyang/MetaEmbedding
Codes for our SIGIR-2019 paper "Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings"
pytorch/torchrec
Pytorch domain library for recommendation systems
BryanPlummer/two_branch_networks
Pytorch implementation of "Learning Deep Structure-Preserving Image-Text Embeddings"
aymericdamien/TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
jiaqima/Off-Policy-2-Stage
Off-policy Learning in Two-stage Recommender Systems. https://dl.acm.org/doi/pdf/10.1145/3366423.3380130
RecList/reclist
Behavioral "black-box" testing for recommender systems
PKU-DAIR/Hetu
A high-performance distributed deep learning system targeting large-scale and automated distributed training.
srush/GPU-Puzzles
Solve puzzles. Learn CUDA.
microsoft/hummingbird
Hummingbird compiles trained ML models into tensor computation for faster inference.
radekosmulski/nvt_op_examples
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.
dair-ai/Mathematics-for-ML
🧮 A collection of resources to learn mathematics for machine learning
linkedin/spark-tfrecord
Read and write Tensorflow TFRecord data from Apache Spark.
tensorflow/ecosystem
Integration of TensorFlow with other open-source frameworks
xiaoleihuang/UserEmbedding
Data and code repository to build user embeddings for the Adapt-NLP 2021 paper User Factor Adaptation for User Embedding via Multitask Learning.
je-dbl/GNN-RecSys
Graph Neural Networks for Recommender Systems