PUSHKAR RAJ's Projects
Testing DeepSpeed integration in š¤ Accelerate
Training and serving large-scale neural networks
Staging area for ongoing enhancements to Ray focused on improving integration with AWS and other Amazon technologies.
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
Cursos completos de IA dictados por Humai
An index of recommendation algorithms that are based on Graph Neural Networks.
iNeuron Challange:
This is an approch to finetune LLM's in multigpu and multi node environment using ray.
Distributed computing solutions for large language models.
Data-centric declarative deep learning framework
PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models (IN PROGRESS)
A content based movie recommender system.
My profile page
A machine learning approach to find faults in wafer.
A coding-free framework built on PyTorch for reproducible deep learning studies. š20 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. š Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.
Transformer seq2seq model, program that can build a language translator from parallel corpus