Sanjaykrishnamurthy
Interested in Deep Learning, Recommender systems. Worked extensively in session-based recommenders.
PhD ScholarChennai
Sanjaykrishnamurthy's Stars
crunchdao/datacrunch-notebooks
CrunchDAO official repository for public notebooks and collaboration
Nishikata97/RI-GNN
Codes for PAKDD'22 paper 'Rethinking Adjacent Dependency in Session-based Recommendations'
mustelideos/recsys-challenge-2019
7th place solution: RecSys 2019/trivago Data Challenge
spark-examples/pyspark-examples
Pyspark RDD, DataFrame and Dataset Examples in Python language
MoranReznik/PySpark-Reference-Notebook
tkipf/pygcn
Graph Convolutional Networks in PyTorch
RuihongQiu/FGNN
An implementation FGNN.
xiaohanhan1019/STAN
STAN implementation according to paper 'Sequence and Time Aware Neighborhood for Session-based Recommendations'
Sanjaykrishnamurthy/SRGNN
karpathy/ng-video-lecture
labmlai/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, ... 🧠
lukysummer/Bahdanau-Attention-in-Pytorch
Simple Concatenative Atttention implemented in Pytorch
ba305/LightGCN-Spotify
Sanjaykrishnamurthy/GAN
Epoch 1: GANs
analytics-club-iitm/Epoch-1
Epoch 1: GANs
divamgupta/stable-diffusion-tensorflow
Stable Diffusion in TensorFlow / Keras
alirezagharahi/alirezagharahi.github.io
A personal webpage
alirezagharahi/d_SBRS
Support material for the paper: A Gharahighehi and C Vens. “Diversification in Session-based News Recommender Systems”, submitted for the theme issue on Intelligent Systems for Tackling Online Harms of the journal of Personal and Ubiquitous Computing.
patrickloeber/blogposts-pythonengineer
Repo with articles for the python-engineer.com website. New authors are welcome!
massCodeIO/massCode
A free and open source code snippets manager for developers
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Anusha-Kumar/Sales-Prediction-Black-Friday-Data
Using Regression Techniques to predict Sales.
khuangaf/PyTorch-Geometric-YooChoose
This is a tutorial for PyTorch Geometric on the YooChoose dataset
sakatani/sigir-2021
pmixer/TiSASRec.pytorch
https://github.com/JiachengLi1995/TiSASRec in PyTorch
pmixer/SASRec.pytorch
PyTorch(1.6+) implementation of https://github.com/kang205/SASRec
justmarkham/scikit-learn-videos
Jupyter notebooks from the scikit-learn video series
mattnedrich/GradientDescentExample
Example demonstrating how gradient descent may be used to solve a linear regression problem