TsfreshAutomatic extraction of relevant features from time series:
Stars: ✭ 6,077 (+758.33%)
Nteract📘 The interactive computing suite for you! ✨
Stars: ✭ 5,713 (+706.92%)
CugraphcuGraph - RAPIDS Graph Analytics Library
Stars: ✭ 683 (-3.53%)
FuncatFuncat 将同花顺、通达信、文华财经麦语言等的公式写法移植到了 Python 中。
Stars: ✭ 642 (-9.32%)
Fewshot Face Translation GanGenerative adversarial networks integrating modules from FUNIT and SPADE for face-swapping.
Stars: ✭ 705 (-0.42%)
Numerical MoocA course in numerical methods with Python for engineers and scientists: currently 5 learning modules, with student assignments.
Stars: ✭ 681 (-3.81%)
Data VisualizationMisc data visualization projects, examples, and demos: mostly Python (pandas + matplotlib) and JavaScript (leaflet).
Stars: ✭ 639 (-9.75%)
MmposeOpenMMLab Pose Estimation Toolbox and Benchmark.
Stars: ✭ 674 (-4.8%)
Speech Emotion AnalyzerThe neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)
Stars: ✭ 633 (-10.59%)
RepMachine Learning toolbox for Humans
Stars: ✭ 634 (-10.45%)
Sklearn DeapUse evolutionary algorithms instead of gridsearch in scikit-learn
Stars: ✭ 633 (-10.59%)
MadewithmlLearn how to responsibly deliver value with ML.
Stars: ✭ 29,253 (+4031.78%)
Medium notebookRepository containing notebooks of my posts on Medium
Stars: ✭ 671 (-5.23%)
FalconBrushing and linking for big data
Stars: ✭ 627 (-11.44%)
Machine Learning머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)
Stars: ✭ 705 (-0.42%)
Fastai2Temporary home for fastai v2 while it's being developed
Stars: ✭ 630 (-11.02%)
Keras IoKeras documentation, hosted live at keras.io
Stars: ✭ 664 (-6.21%)
AnchorCode for "High-Precision Model-Agnostic Explanations" paper
Stars: ✭ 629 (-11.16%)
CspHigh-level Semantic Feature Detection: A New Perspective for Pedestrian Detection, CVPR, 2019
Stars: ✭ 695 (-1.84%)
KmcudaLarge scale K-means and K-nn implementation on NVIDIA GPU / CUDA
Stars: ✭ 627 (-11.44%)
Captcha TensorflowImage Captcha Solving Using TensorFlow and CNN Model. Accuracy 90%+
Stars: ✭ 660 (-6.78%)
Fecon235Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics
Stars: ✭ 708 (+0%)
TutorialsA series of machine learning tutorials for Torch7
Stars: ✭ 621 (-12.29%)
Ebookmlcbebook Machine Learning cơ bản
Stars: ✭ 619 (-12.57%)
Ml notes机器学习算法的公式推导以及numpy实现
Stars: ✭ 618 (-12.71%)
Tensorflow tutorialsFrom the basics to slightly more interesting applications of Tensorflow
Stars: ✭ 5,548 (+683.62%)
Swift ModelsModels and examples built with Swift for TensorFlow
Stars: ✭ 619 (-12.57%)
Polyrnn PpInference Code for Polygon-RNN++ (CVPR 2018)
Stars: ✭ 704 (-0.56%)
JetracerAn autonomous AI racecar using NVIDIA Jetson Nano
Stars: ✭ 616 (-12.99%)
Word2vec SentimentsTutorial for Sentiment Analysis using Doc2Vec in gensim (or "getting 87% accuracy in sentiment analysis in under 100 lines of code")
Stars: ✭ 659 (-6.92%)
Opencv Machine LearningM. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt Publishing Ltd., ISBN 978-178398028-4.
Stars: ✭ 693 (-2.12%)
MachinelearningMy blogs and code for machine learning. http://cnblogs.com/pinard
Stars: ✭ 5,984 (+745.2%)
TensorslowRe-implementation of TensorFlow in pure python, with an emphasis on code understandability
Stars: ✭ 657 (-7.2%)
Amazon Sagemaker ExamplesExample 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Stars: ✭ 6,346 (+796.33%)
LolvizA simple Python data-structure visualization tool for lists of lists, lists, dictionaries; primarily for use in Jupyter notebooks / presentations
Stars: ✭ 706 (-0.28%)
Intro To DlResources for "Introduction to Deep Learning" course.
Stars: ✭ 703 (-0.71%)
BatchgeneratorsA framework for data augmentation for 2D and 3D image classification and segmentation
Stars: ✭ 655 (-7.49%)
Sigma coding youtubeThis is a collection of all the code that can be found on my YouTube channel Sigma Coding.
Stars: ✭ 611 (-13.7%)
PvnetCode for "PVNet: Pixel-wise Voting Network for 6DoF Pose Estimation" CVPR 2019 oral
Stars: ✭ 611 (-13.7%)
EigentechnoPrincipal Component Analysis on music loops
Stars: ✭ 655 (-7.49%)
Instagram 3d PhotoA Chrome extension that adds a 3d photo effect to instagram pages.
Stars: ✭ 611 (-13.7%)
Ubuntu Ranking Dataset CreatorA script that creates train, valid and test datasets for the ranking task from Ubuntu corpus dialogs.
Stars: ✭ 609 (-13.98%)
FeatexpFeature exploration for supervised learning
Stars: ✭ 688 (-2.82%)
Stock Analysis EngineBacktest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes and docker-compose. >150 million trading history rows generated from +5000 algorithms. Heads up: Yahoo's Finance API was disabled on 2019-01-03 https://developer.yahoo.com/yql/
Stars: ✭ 605 (-14.55%)
TutorialsIpython notebooks for math and finance tutorials
Stars: ✭ 654 (-7.63%)