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duckdb

DuckDB is an analytical in-process SQL database management system

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spr

Stacked Pull Requests on GitHub

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django-cacheops

A slick ORM cache with automatic granular event-driven invalidation.

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django-cachalot

No effort, no worry, maximum performance.

Language:PythonBSD-3-Clause116800

graphql-markdown

Flexible GraphQL Documentation Generator (Markdown)

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carbon-lang

Carbon Language's main repository: documents, design, implementation, and related tools. (NOTE: Carbon Language is experimental; see README)

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bolt

10x faster matrix and vector operations

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RxPY

ReactiveX for Python

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optapy

OptaPy is an AI constraint solver for Python to optimize planning and scheduling problems.

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AI_for_Scheduling

This is the code for "AI for Scheduling" by Siraj Raval on Youtube

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From-0-to-Research-Scientist-resources-guide

Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.

Awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

CC0-1.01614000

NYU-DLSP20

NYU Deep Learning Spring 2020

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tabby

A terminal for a more modern age

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go-admin

A golang framework helps gopher to build a data visualization and admin panel in ten minutes

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Early-Bird-Tickets

[ICLR 2020] Drawing Early-Bird Tickets: Toward More Efficient Training of Deep Networks

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torchprofile

A general and accurate MACs / FLOPs profiler for PyTorch models

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Graph

a simple python to create graph in console

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neural-network-pruning-and-sparsification

TensorFlow implementation of weight and unit pruning and sparsification

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A-_Guide_-to_Data_Sciecne_from_mathematics

It is a blueprint to data science from the mathematics to algorithms. It is not completed.

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nncf

Neural Network Compression Framework for enhanced OpenVINO™ inference

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pytorch-OpCounter

Count the MACs / FLOPs of your PyTorch model.

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condensa

Programmable Neural Network Compression

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amc

[ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices

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Efficient-Computing

Efficient computing methods developed by Huawei Noah's Ark Lab

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knowledge-distillation-papers

knowledge distillation papers

ghostnet.pytorch

[CVPR2020] GhostNet: More Features from Cheap Operations

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awesome-AutoML-and-Lightweight-Models

A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.

knowledge-distillation-pytorch

A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility

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