ShriyaRishab/training
Reference implementations of MLPerf™ training benchmarks
(Previous name: Shriya Palsamudram) Senior Deep Learning Engineer @ Nvidia. MS in CS @ Columbia University
Repositories
ShriyaRishab/training_policies
Issues related to MLPerf™ training policies, including rules and suggested changes
ShriyaRishab/logging
MLPerf™ logging library
ShriyaRishab/policies
General policies for MLPerf™ including submission rules, coding standards, etc.
ShriyaRishab/NVIDIA-NeMo.github
ShriyaRishab/RL
Scalable toolkit for efficient model reinforcement
ShriyaRishab/NeMo
NeMo: a toolkit for conversational AI
ShriyaRishab/Megatron-LM
Ongoing research training transformer models at scale
ShriyaRishab/training_results_v3.1
This repository contains the results and code for the MLPerf™ Training v3.1 benchmark.
ShriyaRishab/training_results_v3.0
This repository contains the results and code for the MLPerf™ Training v3.0 benchmark.
ShriyaRishab/TransformerEngine
A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper GPUs, to provide better performance with lower memory utilization in both training and inference.
ShriyaRishab/emdr2
Code and Models for the paper "End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering"