Pinned Repositories
training
Reference implementations of MLPerf™ training benchmarks
DeepLearningExamples
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
apex
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
cnmem
A simple memory manager for CUDA designed to help Deep Learning frameworks manage memory
DeepLearningExamples
Deep Learning Examples
gpu_affinity
GPU Affinity is a package to automatically set the CPU process affinity to match the hardware architecture on a given platform
Megatron-LM
Ongoing research training transformer models at scale
nccl
Optimized primitives for collective multi-GPU communication
tiny-dnn
header only, dependency-free deep learning framework in C++11
training
Reference implementations of MLPerf benchmarks
szmigacz's Repositories
szmigacz/tiny-dnn
header only, dependency-free deep learning framework in C++11
szmigacz/training
Reference implementations of MLPerf benchmarks
szmigacz/apex
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
szmigacz/cnmem
A simple memory manager for CUDA designed to help Deep Learning frameworks manage memory
szmigacz/DeepLearningExamples
Deep Learning Examples
szmigacz/gpu_affinity
GPU Affinity is a package to automatically set the CPU process affinity to match the hardware architecture on a given platform
szmigacz/Megatron-LM
Ongoing research training transformer models at scale
szmigacz/nccl
Optimized primitives for collective multi-GPU communication
szmigacz/nvidia-persistenced
NVIDIA driver persistence daemon
szmigacz/OpenNMT-py
Open-Source Neural Machine Translation in PyTorch http://opennmt.net/
szmigacz/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
szmigacz/qmk_firmware
keyboard controller firmware for Atmel AVR and ARM USB families
szmigacz/tutorials
PyTorch tutorials.
szmigacz/vim-conjoin
Remove continuation characters when joining lines in vim