ashokei

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/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