Mml BookCode / solutions for Mathematics for Machine Learning (MML Book)
Stars: ✭ 333 (-6.2%)
BmcNotes on Scientific Computing for Biomechanics and Motor Control
Stars: ✭ 319 (-10.14%)
Tf tutorial plusTutorials for TensorFlow APIs the official documentation doesn't cover
Stars: ✭ 293 (-17.46%)
Processing DocsProcessing reference, examples, tutorials, and website
Stars: ✭ 346 (-2.54%)
NotebooksAll of our computational notebooks
Stars: ✭ 292 (-17.75%)
Numpy neural network仅使用numpy从头开始实现神经网络,包括反向传播公式推导过程; numpy构建全连接层、卷积层、池化层、Flatten层;以及图像分类案例及精调网络案例等,持续更新中... ...
Stars: ✭ 339 (-4.51%)
Winerama Recommender TutorialA wine recommender system tutorial using Python technologies such as Django, Pandas, or Scikit-learn, and others such as Bootstrap.
Stars: ✭ 324 (-8.73%)
Dive Into Dl Tensorflow2.0本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现,项目已得到李沐老师的认可
Stars: ✭ 3,380 (+852.11%)
Autocrop😌 Automatically detects and crops faces from batches of pictures.
Stars: ✭ 320 (-9.86%)
Fpn tensorflowThis is a tensorflow re-implementation of Feature Pyramid Networks for Object Detection.
Stars: ✭ 291 (-18.03%)
Machine LearningContent for Udacity's Machine Learning curriculum
Stars: ✭ 3,618 (+919.15%)
G Darknetdarknet with GIoU
Stars: ✭ 292 (-17.75%)
MathtoolsforneuroscienceMaterials for Mathematical Tools for Neuroscience course at Harvard (Neurobio 212)
Stars: ✭ 287 (-19.15%)
Kaggle criteo ctr challengeThis is a kaggle challenge project called Display Advertising Challenge by CriteoLabs at 2014.这是2014年由CriteoLabs在kaggle上发起的广告点击率预估挑战项目。
Stars: ✭ 340 (-4.23%)
MagnetDeep Learning Projects that Build Themselves
Stars: ✭ 351 (-1.13%)
Image CaptioningImage Captioning using InceptionV3 and beam search
Stars: ✭ 290 (-18.31%)
AdanetFast and flexible AutoML with learning guarantees.
Stars: ✭ 3,340 (+840.85%)
Dl pytorchCode for the Deep Learning with PyTorch lesson
Stars: ✭ 339 (-4.51%)
Bokeh CnBokeh中文文档(翻译中)
Stars: ✭ 288 (-18.87%)
EifExtended Isolation Forest for Anomaly Detection
Stars: ✭ 287 (-19.15%)
Mysql Tutorial🌱 This is a tutorial of MySQL. In this tutorial, you can leran how to use MySQL and optimize SQL.
Stars: ✭ 346 (-2.54%)
Jupyter ThemerApply custom CSS styling to your jupyter notebooks
Stars: ✭ 322 (-9.3%)
JoypyJoyplots in Python with matplotlib & pandas 📈
Stars: ✭ 322 (-9.3%)
Pytorch TvmiscTotally Versatile Miscellanea for Pytorch
Stars: ✭ 354 (-0.28%)
Try Django 2.2Try Django 2.2 is step-by-step to build a modern, fully open-source, Blog web application using Python, Django, Bootstrap, Javascript, and more.
Stars: ✭ 338 (-4.79%)
BrunelBrunel Visualization
Stars: ✭ 285 (-19.72%)
Nlp Papers With ArxivStatistics and accepted paper list of NLP conferences with arXiv link
Stars: ✭ 345 (-2.82%)
SimlMachine Learning algorithms implemented from scratch
Stars: ✭ 319 (-10.14%)
Python🐍 Python Programs
Stars: ✭ 320 (-9.86%)
CodefunDataStructure(SwordOffer、LeetCode)、Deep Learning(Tensorflow、Keras、Pytorch)、Machine Learning(sklearn、spark)、AutoML、AutoDL、ModelDeploying、SQL
Stars: ✭ 319 (-10.14%)
Reco GymCode for reco-gym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising
Stars: ✭ 314 (-11.55%)
Dliss TutorialTutorial for International Summer School on Deep Learning, 2019
Stars: ✭ 319 (-10.14%)
PycadlPython package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow"
Stars: ✭ 356 (+0.28%)