PynotesPython exercises to practice skills
Stars: ✭ 543 (-33.29%)
ArchitectureplaybookThe Open Architecture Playbook. Use it to create better and faster (IT)Architectures. OSS Tools, templates and more for solving IT problems using real open architecture tools that work!
Stars: ✭ 652 (-19.9%)
TensorrtTensorFlow/TensorRT integration
Stars: ✭ 543 (-33.29%)
Ml Course MsuLecture notes and code for Machine Learning practical course on CMC MSU
Stars: ✭ 759 (-6.76%)
Stat479 Machine Learning Fs19Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison
Stars: ✭ 650 (-20.15%)
Cookbook 2nd CodeCode of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]
Stars: ✭ 541 (-33.54%)
ActivitynetThis repository is intended to host tools and demos for ActivityNet
Stars: ✭ 716 (-12.04%)
Pose Hg TrainTraining and experimentation code used for "Stacked Hourglass Networks for Human Pose Estimation"
Stars: ✭ 541 (-33.54%)
Goodbooks 10kTen thousand books, six million ratings
Stars: ✭ 646 (-20.64%)
Earthengine Py NotebooksA collection of 360+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping
Stars: ✭ 807 (-0.86%)
NotebooksSome sample IPython notebooks for scikit-learn
Stars: ✭ 539 (-33.78%)
Tensorflow 101TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow
Stars: ✭ 642 (-21.13%)
TorchdynA PyTorch based library for all things neural differential equations
Stars: ✭ 535 (-34.28%)
JustenoughscalaforsparkA tutorial on the most important features and idioms of Scala that you need to use Spark's Scala APIs.
Stars: ✭ 538 (-33.91%)
Aima PythonPython implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
Stars: ✭ 6,129 (+652.95%)
TerrapatternEnabling journalists, citizen scientists, humanitarian workers and others to detect “patterns of interest” in satellite imagery.
Stars: ✭ 536 (-34.15%)
DlaicourseNotebooks for learning deep learning
Stars: ✭ 5,355 (+557.86%)
Py4fi2ndJupyter Notebooks and code for Python for Finance (2nd ed., O'Reilly) by Yves Hilpisch.
Stars: ✭ 640 (-21.38%)
Tensor SensorThe goal of this library is to generate more helpful exception messages for numpy/pytorch matrix algebra expressions.
Stars: ✭ 532 (-34.64%)
Me botBuild a bot that speaks like you!
Stars: ✭ 641 (-21.25%)
Interpretable machine learning with pythonExamples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
Stars: ✭ 530 (-34.89%)
Pytorch Normalizing FlowsNormalizing flows in PyTorch. Current intended use is education not production.
Stars: ✭ 641 (-21.25%)
Music recommenderMusic recommender using deep learning with Keras and TensorFlow
Stars: ✭ 528 (-35.14%)
DenseposeA real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body
Stars: ✭ 6,168 (+657.74%)
Cvpr 2019 Paper StatisticsStatistics and Visualization of acceptance rate, main keyword of CVPR 2019 accepted papers for the main Computer Vision conference (CVPR)
Stars: ✭ 527 (-35.26%)
Zero To Mastery MlAll course materials for the Zero to Mastery Machine Learning and Data Science course.
Stars: ✭ 631 (-22.48%)
Deepke基于深度学习的开源中文关系抽取框架
Stars: ✭ 525 (-35.5%)
JupyterhubMulti-user server for Jupyter notebooks
Stars: ✭ 6,488 (+697.05%)
LabnotebookLabNotebook is a tool that allows you to flexibly monitor, record, save, and query all your machine learning experiments.
Stars: ✭ 526 (-35.38%)
Speech Emotion AnalyzerThe neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)
Stars: ✭ 633 (-22.24%)
MingptA minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Stars: ✭ 6,803 (+735.75%)
RepMachine Learning toolbox for Humans
Stars: ✭ 634 (-22.11%)
Tensorflow exercisesThe codes I made while I practiced various TensorFlow examples
Stars: ✭ 588 (-27.76%)
Machine Learning Project WalkthroughAn implementation of a complete machine learning solution in Python on a real-world dataset. This project is meant to demonstrate how all the steps of a machine learning pipeline come together to solve a problem!
Stars: ✭ 791 (-2.83%)
Tf TutorialsA collection of deep learning tutorials using Tensorflow and Python
Stars: ✭ 524 (-35.63%)
Sklearn DeapUse evolutionary algorithms instead of gridsearch in scikit-learn
Stars: ✭ 633 (-22.24%)
Tensorflow 2.x TutorialsTensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码,实战教程。
Stars: ✭ 6,088 (+647.91%)
Nbviewer AppA Jupyter notebook viewer for macOS
Stars: ✭ 521 (-36%)
Deep Learning For HackersMachine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)
Stars: ✭ 586 (-28.01%)
Dnc TensorflowA TensorFlow implementation of DeepMind's Differential Neural Computers (DNC)
Stars: ✭ 587 (-27.89%)
Nbstripoutstrip output from Jupyter and IPython notebooks
Stars: ✭ 738 (-9.34%)
MadewithmlLearn how to responsibly deliver value with ML.
Stars: ✭ 29,253 (+3493.73%)
Ml InterviewPreparing for machine learning interviews
Stars: ✭ 586 (-28.01%)
AutodidactA pedagogical implementation of Autograd
Stars: ✭ 585 (-28.13%)
H1stThe AI Application Platform We All Need. Human AND Machine Intelligence. Based on experience building AI solutions at Panasonic: robotics predictive maintenance, cold-chain energy optimization, Gigafactory battery mfg, avionics, automotive cybersecurity, and more.
Stars: ✭ 697 (-14.37%)