amallia

click

Python composable command line interface toolkit

dlib

A toolkit for making real world machine learning and data analysis applications in C++

the-incredible-pytorch

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

LaTeX-Workshop

Boost LaTeX typesetting efficiency with preview, compile, autocomplete, colorize, and more.

course-v3

The 3rd edition of course.fast.ai

distiller

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

NumCpp

C++ implementation of the Python Numpy library

glow

Compiler for Neural Network hardware accelerators

DEPRECATED-data-structures

A collection of powerful data structures

nbdime

Tools for diffing and merging of Jupyter notebooks.

pmu-tools

Intel PMU profiling tools

noisepage

Self-Driving Database Management System from Carnegie Mellon University

magnitude

A fast, efficient universal vector embedding utility package.

deep-learning-notes

Experiments with Deep Learning

livelossplot

Live training loss plot in Jupyter Notebook for Keras, PyTorch and others

cpuinfo

CPU INFOrmation library (x86/x86-64/ARM/ARM64, Linux/Windows/Android/macOS/iOS)

shortkeys

A browser extension for custom keyboard shortcuts

Awesome-model-compression-and-acceleration

infoware

C++ Library for pulling system and hardware information, without hitting the command line.

PyClick

Deep-Listwise-Context-Model-for-Ranking-Refinement

A Tensorflow implementation of the Deep Listwise Context Model (DLCM) for ranking refinement.

psimd

Portable 128-bit SIMD intrinsics

searchyll

trec-data

scripts to download and standardize trec query and document sets

Cpp-Fundamentals

Hit the ground running with C++

engineer-cv

command line based cv holder

IR-Conferences

Inverted-Index

To build an inverted index for a search engine.

selective-search

Selective search partitions large scale dataset into subsets(shards) such that only few shards needs to be searched for a query, thus improving search efficiency and effectiveness

asrc

ASRC2017