20 Repositories
Python Py-Boost Libraries
Easy-to-use library to boost AI inference leveraging state-of-the-art optimization techniques.
NEW RELEASE How Nebullvm Works • Tutorials • Benchmarks • Installation • Get Started • Optimization Examples Discord | Website | LinkedIn | Twitter Ne
Convert BART models to ONNX with quantization. 3X reduction in size, and upto 3X boost in inference speed
fast-Bart Reduction of BART model size by 3X, and boost in inference speed up to 3X BART implementation of the fastT5 library (https://github.com/Ki6a
A boosting-based Multiple Instance Learning (MIL) package that includes MIL-Boost and MCIL-Boost
A boosting-based Multiple Instance Learning (MIL) package that includes MIL-Boost and MCIL-Boost
Machine Learning Algorithms ( Desion Tree, XG Boost, Random Forest )
implementation of machine learning Algorithms such as decision tree and random forest and xgboost on darasets then compare results for each and implement ant colony and genetic algorithms on tsp map, play blackjack game and robot in grid world and evaluate reward for it
Python library to interact with Move Hub / PoweredUp Hubs
Python library to interact with Move Hub / PoweredUp Hubs Move Hub is central controller block of LEGO® Boost Robotics Set. In fact, Move Hub is just
This project provides the code and datasets for 'CapSal: Leveraging Captioning to Boost Semantics for Salient Object Detection', CVPR 2019.
Code-and-Dataset-for-CapSal This project provides the code and datasets for 'CapSal: Leveraging Captioning to Boost Semantics for Salient Object Detec
Qt-creator-boost-debugging-helper - Qt Creator Debugging Helper for Boost Library
Go to Tools Options Debugger Locals & Expressions. Paste the script path t
This project aim to create multi-label classification annotation tool to boost annotation speed and make it more easier.
This project aim to create multi-label classification annotation tool to boost annotation speed and make it more easier.
PRIME: A Few Primitives Can Boost Robustness to Common Corruptions
PRIME: A Few Primitives Can Boost Robustness to Common Corruptions This is the official repository of PRIME, the data agumentation method introduced i
Histogramming for analysis powered by boost-histogram
Hist Hist is an analyst-friendly front-end for boost-histogram, designed for Python 3.7+ (3.6 users get version 2.4). See what's new. Installation You
An algorithm study of the 6th iOS 10 set of Boost Camp Web Mobile
알고리즘 스터디 🔥 부스트캠프 웹모바일 6기 iOS 10조의 알고리즘 스터디 입니다. 개인적인 사정 등으로 S034, S055만 참가하였습니다. 스터디 목적 상진: 코테 합격 + 부캠끝나고 아침에 일어나기 위해 필요한 사이클 기완: 꾸준하게 자리에 앉아 공부하기 +
Python based GBDT implementation
Py-boost: a research tool for exploring GBDTs Modern gradient boosting toolkits are very complex and are written in low-level programming languages. A
A conda-smithy repository for boost-histogram.
The official Boost.Histogram Python bindings. Provides fast, efficient histogramming with a variety of different storages combined with dozens of composable axes. Part of the Scikit-HEP family.
Automatically re-open threads when they get archived, no matter your boost level!
ThreadPersist Automatically re-open threads when they get archived, no matter your boost level! Installation You will need to install poetry to run th
Compress .dds file in ggpk to boost fps. This is a python rewrite of PoeTexureResizer.
PoeBooster Compress .dds file in ggpk to boost fps. This is a python rewrite of PoeTexureResizer. Setup Install ImageMagick-7.1.0. Download and unzip
Automatic CPU speed & power optimizer for Linux
Automatic CPU speed & power optimizer for Linux based on active monitoring of laptop's battery state, CPU usage, CPU temperature and system load. Ultimately allowing you to improve battery life without making any compromises.
WinBoost: Boost your windows system.
Winboost runs a complete checkup of your entire system locating junk files, speed-reducing issues and causes of any system or application glitches or crashes. Through a lot of research and testing, we have worked out precise techniques that allow locating issues, which can be safely removed with no risk of damaging your operating system.
Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)
Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs Jiong Zhu, Yujun Yan, Lingxiao Zhao, Mark Heimann, Leman Akoglu,
⚡ boost inference speed of T5 models by 5x & reduce the model size by 3x using fastT5.
Reduce T5 model size by 3X and increase the inference speed up to 5X. Install Usage Details Functionalities Benchmarks Onnx model Quantized onnx model
Ready-to-use code and tutorial notebooks to boost your way into few-shot image classification.
Easy Few-Shot Learning Ready-to-use code and tutorial notebooks to boost your way into few-shot image classification. This repository is made for you