Pinned Repositories
clipp
easy to use, powerful & expressive command line argument parsing for modern C++ / single header / usage & doc generation
DeepLearningExamples
Deep Learning Examples
DeepLearningForNLPInPytorch
An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.
dotfiles
:hibiscus: zsh, tmux, neovim, alacritty, git, parity, mpv, livestreamer
dotfiles-1
mattdibi's Config Files
FBGEMM
FB (Facebook) + GEMM (General Matrix-Matrix Multiplication) - https://code.fb.com/ml-applications/fbgemm/
FunctionalPlus
Functional Programming Library for C++. Write concise and readable C++ code.
fzf
:cherry_blossom: A command-line fuzzy finder
lp-inference-kit
Intel Low Precision Inference Tool, targeting to provide a unified low precision inference interface cross different deep learning frameworks, and support auto-tune with specified accuracy criterion to find out best quantized model.
ashokei's Repositories
ashokei/lp-inference-kit
Intel Low Precision Inference Tool, targeting to provide a unified low precision inference interface cross different deep learning frameworks, and support auto-tune with specified accuracy criterion to find out best quantized model.
ashokei/clipp
easy to use, powerful & expressive command line argument parsing for modern C++ / single header / usage & doc generation
ashokei/DeepLearningExamples
Deep Learning Examples
ashokei/DeepLearningForNLPInPytorch
An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.
ashokei/dotfiles
:hibiscus: zsh, tmux, neovim, alacritty, git, parity, mpv, livestreamer
ashokei/dotfiles-1
mattdibi's Config Files
ashokei/FBGEMM
FB (Facebook) + GEMM (General Matrix-Matrix Multiplication) - https://code.fb.com/ml-applications/fbgemm/
ashokei/FunctionalPlus
Functional Programming Library for C++. Write concise and readable C++ code.
ashokei/fzf
:cherry_blossom: A command-line fuzzy finder
ashokei/hardware-effects
Demonstration of various hardware effects.
ashokei/incubator-mxnet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
ashokei/inference
Reference implementations of inference benchmarks
ashokei/intel-extension-for-pytorch
A Python package for extending the official PyTorch that can easily obtain performance on Intel platform
ashokei/intel-optimization-for-horovod
ashokei/libxsmm
Library targeting Intel Architecture for specialized dense and sparse matrix operations, and deep learning primitives.
ashokei/mkl-dnn
Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN)
ashokei/mltrain-nips-2017
This repository contains all the material for the MLTrain NIPS workshop
ashokei/mxnet-deepmark
Benchmark MXNet models and symbol.json models.
ashokei/ngraph
nGraph has moved to OpenVINO
ashokei/ngraph-bridge
TensorFlow-nGraph bridge
ashokei/pmu-tools
Intel PMU profiling tools
ashokei/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
ashokei/repeatable-motions.vim
Make most motions repeatable
ashokei/serve
Model Serving on PyTorch
ashokei/shougo-s-github
Shougo's git repository - vim, zsh, screen, etc...
ashokei/temp
ashokei/testcpp
ashokei/tools
ashokei/transformers
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
ashokei/vectorbt
Python library for backtesting and analyzing trading strategies at scale