SymposiumManagement of proposals, bios, photos, etc. for conference speakers.
Stars: ✭ 157 (+348.57%)
Tf classificationTraining, evaluation and testing code for image classification using TensorFlow
Stars: ✭ 127 (+262.86%)
text classifierTensorflow2.3的文本分类项目,支持各种分类模型,支持相关tricks。
Stars: ✭ 135 (+285.71%)
Voctowebvoctoweb – the frontend and backend software behind media.ccc.de
Stars: ✭ 146 (+317.14%)
Robovision AI and machine leaning-based computer vision for a robot
Stars: ✭ 126 (+260%)
knodleA PyTorch-based open-source framework that provides methods for improving the weakly annotated data and allows researchers to efficiently develop and compare their own methods.
Stars: ✭ 76 (+117.14%)
Project aliasAlias is a teachable “parasite” that is designed to give users more control over their smart assistants, both when it comes to customisation and privacy. Through a simple app the user can train Alias to react on a custom wake-word/sound, and once trained, Alias can take control over your home assistant by activating it for you.
Stars: ✭ 1,577 (+4405.71%)
TgmeetupA collection set of technical groups' information (meetup).
Stars: ✭ 139 (+297.14%)
MobilenetA Clearer and Simpler MobileNet Implementation in TensorFlow
Stars: ✭ 119 (+240%)
Predictive-Maintenance-of-Aircraft-EngineIn this project I aim to apply Various Predictive Maintenance Techniques to accurately predict the impending failure of an aircraft turbofan engine.
Stars: ✭ 48 (+37.14%)
Fedevtalk🍀 Naver Front-End Conference, FE devtalk 🎉
Stars: ✭ 121 (+245.71%)
Traffic SignsBuilding a CNN based traffic signs classifier.
Stars: ✭ 115 (+228.57%)
Cinc Challenge2017ECG classification from short single lead segments (Computing in Cardiology Challenge 2017 entry)
Stars: ✭ 112 (+220%)
Wwdc RecapA collection of session summaries in markdown format, from WWDC 20, 19 & 17
Stars: ✭ 121 (+245.71%)
Shiftresnet CifarResNet with Shift, Depthwise, or Convolutional Operations for CIFAR-100, CIFAR-10 on PyTorch
Stars: ✭ 112 (+220%)
notes📖 What I'm reading lately
Stars: ✭ 85 (+142.86%)
Dni.pytorchImplement Decoupled Neural Interfaces using Synthetic Gradients in Pytorch
Stars: ✭ 111 (+217.14%)
CsrankingsA web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.
Stars: ✭ 1,686 (+4717.14%)
ugtmugtm: a Python package for Generative Topographic Mapping
Stars: ✭ 34 (-2.86%)
SelfdrivingcarA collection of all projects pertaining to different layers in the SDC software stack
Stars: ✭ 107 (+205.71%)
Ml VideosA collection of video resources for machine learning
Stars: ✭ 1,446 (+4031.43%)
GpstuffGPstuff - Gaussian process models for Bayesian analysis
Stars: ✭ 106 (+202.86%)
sklearn-audio-classificationAn in-depth analysis of audio classification on the RAVDESS dataset. Feature engineering, hyperparameter optimization, model evaluation, and cross-validation with a variety of ML techniques and MLP
Stars: ✭ 31 (-11.43%)
NeuroflowArtificial Neural Networks for Scala
Stars: ✭ 105 (+200%)
Conference Hall📣 An open SaaS platform to manage call for papers
Stars: ✭ 97 (+177.14%)
Classification NetsImplement popular models by different DL framework. Such as tensorflow and caffe
Stars: ✭ 17 (-51.43%)
SegmentationTensorflow implementation : U-net and FCN with global convolution
Stars: ✭ 101 (+188.57%)
Awesome CfpA collection of awesome Call For Papers to never miss to speak anymore 🗣
Stars: ✭ 87 (+148.57%)
Universal Data ToolCollaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.
Stars: ✭ 1,356 (+3774.29%)
GitLink-TalkTalk introducing GitLink given at the 2015 Wolfram Technology Conference
Stars: ✭ 18 (-48.57%)
Happy TransformerA package built on top of Hugging Face's transformer library that makes it easy to utilize state-of-the-art NLP models
Stars: ✭ 97 (+177.14%)
ConfcitizensOpen-source and crowd-sourced conference speakers website
Stars: ✭ 83 (+137.14%)
Machine Learning AlgorithmsA curated list of almost all machine learning algorithms and deep learning algorithms grouped by category.
Stars: ✭ 92 (+162.86%)
textlearnRA simple collection of well working NLP models (Keras, H2O, StarSpace) tuned and benchmarked on a variety of datasets.
Stars: ✭ 16 (-54.29%)
Uer PyOpen Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo
Stars: ✭ 1,295 (+3600%)
Cfp DevoxxCall for Papers application created for Devoxx France, used by many conferences
Stars: ✭ 79 (+125.71%)
Focal Loss KerasMulti-class classification with focal loss for imbalanced datasets
Stars: ✭ 76 (+117.14%)
ThundersvmThunderSVM: A Fast SVM Library on GPUs and CPUs
Stars: ✭ 1,282 (+3562.86%)
MlA high-level machine learning and deep learning library for the PHP language.
Stars: ✭ 1,270 (+3528.57%)
Skin-Cancer-SegmentationClassification and Segmentation with Mask-RCNN of Skin Cancer using ISIC dataset
Stars: ✭ 61 (+74.29%)
Kaggle CompetitionsThere are plenty of courses and tutorials that can help you learn machine learning from scratch but here in GitHub, I want to solve some Kaggle competitions as a comprehensive workflow with python packages. After reading, you can use this workflow to solve other real problems and use it as a template.
Stars: ✭ 86 (+145.71%)
Query OptimizationSlides and material for MySQL and MariaDB query optimization.
Stars: ✭ 69 (+97.14%)
StringlifierStringlifier is on Opensource ML Library for detecting random strings in raw text. It can be used in sanitising logs, detecting accidentally exposed credentials and as a pre-processing step in unsupervised ML-based analysis of application text data.
Stars: ✭ 85 (+142.86%)
Aspect-Based-Sentiment-AnalysisA python program that implements Aspect Based Sentiment Analysis classification system for SemEval 2016 Dataset.
Stars: ✭ 57 (+62.86%)
EventkitA template conference app, featuring real-time schedule and data changes & running on Realm 🚀
Stars: ✭ 59 (+68.57%)
Python-Machine-Learning-FundamentalsD-Lab's 6 hour introduction to machine learning in Python. Learn how to perform classification, regression, clustering, and do model selection using scikit-learn and TPOT.
Stars: ✭ 46 (+31.43%)
conferencesConferences that I will attend or have already attended
Stars: ✭ 53 (+51.43%)
conferencesCurated list of conferences and CFPs that interest me
Stars: ✭ 17 (-51.43%)
nyc-infosecMapping the NYC Infosec Community
Stars: ✭ 41 (+17.14%)
Mem absaAspect Based Sentiment Analysis using End-to-End Memory Networks
Stars: ✭ 189 (+440%)