Pinned Repositories
arm64-python-wheel-tester
Test python wheels import correctly on Graviton2
aws-graviton-getting-started
This document is meant to help new users start using the Arm-based AWS Graviton and Graviton2 processors which power the 6th generation of Amazon EC2 instances (C6g[d], M6g[d], R6g[d], T4g, X2gd, C6gn)
benchmark
TorchBench is a collection of open source benchmarks used to evaluate PyTorch performance.
builder
Continuous builder and binary build scripts for pytorch
cpuinfo
CPU INFOrmation library (x86/x86-64/ARM/ARM64, Linux/Windows/Android/macOS/iOS)
deep-learning-containers
AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.
djl
An Engine-Agnostic Deep Learning Framework in Java
ideep
Intel® Optimization for Chainer*, a Chainer module providing numpy like API and DNN acceleration using MKL-DNN.
intel-extension-for-pytorch
A Python package for extending the official PyTorch that can easily obtain performance on Intel platform
java
Java bindings for TensorFlow
snadampal's Repositories
snadampal/ideep
Intel® Optimization for Chainer*, a Chainer module providing numpy like API and DNN acceleration using MKL-DNN.
snadampal/arm64-python-wheel-tester
Test python wheels import correctly on Graviton2
snadampal/aws-graviton-getting-started
This document is meant to help new users start using the Arm-based AWS Graviton and Graviton2 processors which power the 6th generation of Amazon EC2 instances (C6g[d], M6g[d], R6g[d], T4g, X2gd, C6gn)
snadampal/benchmark
TorchBench is a collection of open source benchmarks used to evaluate PyTorch performance.
snadampal/builder
Continuous builder and binary build scripts for pytorch
snadampal/cpuinfo
CPU INFOrmation library (x86/x86-64/ARM/ARM64, Linux/Windows/Android/macOS/iOS)
snadampal/deep-learning-containers
AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.
snadampal/djl
An Engine-Agnostic Deep Learning Framework in Java
snadampal/intel-extension-for-pytorch
A Python package for extending the official PyTorch that can easily obtain performance on Intel platform
snadampal/java
Java bindings for TensorFlow
snadampal/javacpp-presets
The missing Java distribution of native C++ libraries
snadampal/MNN
MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba
snadampal/mxnet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
snadampal/oneDNN
oneAPI Deep Neural Network Library (oneDNN)
snadampal/OpenBLAS
OpenBLAS is an optimized BLAS library based on GotoBLAS2 1.13 BSD version.
snadampal/llama.cpp
Port of Facebook's LLaMA model in C/C++
snadampal/onnxruntime
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
snadampal/openblas-feedstock
A conda-smithy repository for openblas.
snadampal/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
snadampal/serving
A flexible, high-performance serving system for machine learning models
snadampal/tensorflow
An Open Source Machine Learning Framework for Everyone
snadampal/Tool-Solutions
Tutorials & examples for Arm software development tools.
snadampal/tutorials
PyTorch tutorials.
snadampal/xla
Enabling PyTorch on Google TPU
snadampal/XNNPACK
High-efficiency floating-point neural network inference operators for mobile, server, and Web