Gans In ActionCompanion repository to GANs in Action: Deep learning with Generative Adversarial Networks
Stars: ✭ 748 (+310.99%)
Basic reinforcement learningAn introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.
Stars: ✭ 826 (+353.85%)
Machine Learning Book《机器学习宝典》包含:谷歌机器学习速成课程(招式)+机器学习术语表(口诀)+机器学习规则(心得)+机器学习中的常识性问题 (内功)。该资源适用于机器学习、深度学习研究人员和爱好者参考!
Stars: ✭ 616 (+238.46%)
Har Keras CoremlHuman Activity Recognition (HAR) with Keras and CoreML
Stars: ✭ 23 (-87.36%)
TutorialsA project for developing tutorials for Streams
Stars: ✭ 14 (-92.31%)
Discogan PytorchPyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"
Stars: ✭ 961 (+428.02%)
DeeptradingDeep Neural Network Trading collection of Tensorflow Jupyter notebooks
Stars: ✭ 41 (-77.47%)
Face Mask DetectionFace masks are crucial in minimizing the propagation of Covid-19, and are highly recommended or even obligatory in many situations. In this project, we develop a pipeline to detect unmasked faces in images. This can, for example, be used to alert people that do not wear a mask when entering a building.
Stars: ✭ 37 (-79.67%)
Facenet Face RecognitionThis is the research product of the thesis manifold Learning of Latent Space Vectors in GAN for Image Synthesis. This has an application to the research, name a facial recognition system. The application was developed by consulting the FaceNet model.
Stars: ✭ 54 (-70.33%)
Regex In PythonA comprehensive guide for learning regular expressions using Python
Stars: ✭ 58 (-68.13%)
Opencv TutorialsTutorials for learning OpenCV in Python from Scratch
Stars: ✭ 36 (-80.22%)
Fish detectionFish detection using Open Images Dataset and Tensorflow Object Detection
Stars: ✭ 67 (-63.19%)
DeeplearningDeep Learning From Scratch
Stars: ✭ 66 (-63.74%)
Pytorch BookPyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch:入门与实战》)
Stars: ✭ 9,546 (+5145.05%)
Nlp TutorialNatural Language Processing Tutorial for Deep Learning Researchers
Stars: ✭ 9,895 (+5336.81%)
Learning pythonSource material for Python Like You Mean it
Stars: ✭ 78 (-57.14%)
CaloganGenerative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation
Stars: ✭ 87 (-52.2%)
Pytorch Pos TaggingA tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.
Stars: ✭ 96 (-47.25%)
GanspaceDiscovering Interpretable GAN Controls [NeurIPS 2020]
Stars: ✭ 1,224 (+572.53%)
Mlf Mlt📚 机器学习基石和机器学习技法作业
Stars: ✭ 112 (-38.46%)
PsganPeriodic Spatial Generative Adversarial Networks
Stars: ✭ 108 (-40.66%)
Qiskit TutorialsA collection of Jupyter notebooks showing how to use the Qiskit SDK
Stars: ✭ 1,777 (+876.37%)
Learning Vis ToolsLearning Vis Tools: Tutorial materials for Data Visualization course at HKUST
Stars: ✭ 108 (-40.66%)
Learn jupyterThis is a jupyter practical tutorial. Welcome to edit together!
Stars: ✭ 123 (-32.42%)
Learn Machine Learning In Two MonthsNhững kiến thức cần thiết để học tốt Machine Learning trong vòng 2 tháng. Essential Knowledge for learning Machine Learning in two months.
Stars: ✭ 1,726 (+848.35%)
LearnpythonforresearchThis repository provides everything you need to get started with Python for (social science) research.
Stars: ✭ 163 (-10.44%)
Elmo TutorialA short tutorial on Elmo training (Pre trained, Training on new data, Incremental training)
Stars: ✭ 145 (-20.33%)
StarnetStarNet
Stars: ✭ 141 (-22.53%)
Digital video introductionA hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding).
Stars: ✭ 12,184 (+6594.51%)
Data science blogsA repository to keep track of all the code that I end up writing for my blog posts.
Stars: ✭ 139 (-23.63%)
Pytorch GanA minimal implementaion (less than 150 lines of code with visualization) of DCGAN/WGAN in PyTorch with jupyter notebooks
Stars: ✭ 150 (-17.58%)
CartoonifyDeploy and scale serverless machine learning app - in 4 steps.
Stars: ✭ 157 (-13.74%)
ImageprocessingMicaSense RedEdge and Altum image processing tutorials
Stars: ✭ 139 (-23.63%)
Pix2pix FilmAn implementation of Pix2Pix in Tensorflow for use with frames from films
Stars: ✭ 162 (-10.99%)
Shape Detection🟣 Object detection of abstract shapes with neural networks
Stars: ✭ 170 (-6.59%)
Intro To PythonAn intro to Python & programming for wanna-be data scientists
Stars: ✭ 536 (+194.51%)
JustenoughscalaforsparkA tutorial on the most important features and idioms of Scala that you need to use Spark's Scala APIs.
Stars: ✭ 538 (+195.6%)
Generative adversarial networks 101Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.
Stars: ✭ 138 (-24.18%)