Dima Rekesh's repositories
ansible-bdas
Ansible recipes for Berkeley Data Analytics Stack deployment
cloudify-softlayer
cloudify-softlayer
DeepLearningExamples
Deep Learning Examples
examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
fastbook
The fastai book, published as Jupyter Notebooks
Megatron-LM
Ongoing research training transformer models at scale
NeMo
NeMo: a toolkit for conversational AI
NeMo-Aligner
Scalable toolkit for efficient model alignment
pytorch-lightning
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
softlayer-object-storage-python
SoftLayer Object Storage Python Client
TransformerEngine
A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper and Ada GPUs, to provide better performance with lower memory utilization in both training and inference.
UC-Berkeley-Extensions-Big-Data-Cloud-I
Materials for the Crunching Big Data in Cloud Class I - August 2 and 16th, 2014
UC-Berkeley-Extensions-Big-Data-Cloud-II
Materials for the Crunching Big Data in Cloud Class II - August 10 and 24th, 2014
vagrant-cluster
This is a tool for provisioning a computational cluster on a cloud environment based on Vagrant and Ansible.
vllm
A high-throughput and memory-efficient inference and serving engine for LLMs