Digital video introductionA hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding).
Stars: ✭ 12,184 (-70.63%)
Psi4numpyCombining Psi4 and Numpy for education and development.
Stars: ✭ 170 (-99.59%)
ImodelsInterpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
Stars: ✭ 194 (-99.53%)
Scipy con 2019Tutorial Sessions for SciPy Con 2019
Stars: ✭ 142 (-99.66%)
Sc17SuperComputing 2017 Deep Learning Tutorial
Stars: ✭ 211 (-99.49%)
How To Read PytorchQuick, visual, principled introduction to pytorch code through five colab notebooks.
Stars: ✭ 218 (-99.47%)
Rl Tutorial Jnrr19Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019
Stars: ✭ 204 (-99.51%)
TutorialTutorial covering Open Source tools for Source Separation.
Stars: ✭ 223 (-99.46%)
Kitti tutorialTutorial for using Kitti dataset easily
Stars: ✭ 235 (-99.43%)
Google2csvGoogle2Csv a simple google scraper that saves the results on a csv/xlsx/jsonl file
Stars: ✭ 145 (-99.65%)
Understanding NnTensorflow tutorial for various Deep Neural Network visualization techniques
Stars: ✭ 261 (-99.37%)
VaporschoolLearn how to build vapor applications from rookie to champion in a constructive way!
Stars: ✭ 259 (-99.38%)
Pytorch Seq2seqTutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
Stars: ✭ 3,418 (-91.76%)
Sars tutorialRepository for the tutorial on Sequence-Aware Recommender Systems held at TheWebConf 2019 and ACM RecSys 2018
Stars: ✭ 320 (-99.23%)
Dl tutorialTutorials for deep learning
Stars: ✭ 247 (-99.4%)
NumpileA tiny 1000 line LLVM-based numeric specializer for scientific Python code.
Stars: ✭ 341 (-99.18%)
Iclr2019 OpenreviewdataScript that crawls meta data from ICLR OpenReview webpage. Tutorials on installing and using Selenium and ChromeDriver on Ubuntu.
Stars: ✭ 376 (-99.09%)
PytorchDeep Learning Zero to All - Pytorch
Stars: ✭ 328 (-99.21%)
User Machine Learning TutorialuseR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html
Stars: ✭ 393 (-99.05%)
Dsp TheoryTheory of digital signal processing (DSP): signals, filtration (IIR, FIR, CIC, MAF), transforms (FFT, DFT, Hilbert, Z-transform) etc.
Stars: ✭ 437 (-98.95%)
Elmo TutorialA short tutorial on Elmo training (Pre trained, Training on new data, Incremental training)
Stars: ✭ 145 (-99.65%)
Rxjava2 Android SamplesRxJava 2 Android Examples - Migration From RxJava 1 to RxJava 2 - How to use RxJava 2 in Android
Stars: ✭ 4,950 (-88.07%)
JustenoughscalaforsparkA tutorial on the most important features and idioms of Scala that you need to use Spark's Scala APIs.
Stars: ✭ 538 (-98.7%)
Intro To PythonAn intro to Python & programming for wanna-be data scientists
Stars: ✭ 536 (-98.71%)
Getting Things Done With PytorchJupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.
Stars: ✭ 738 (-98.22%)
Basic reinforcement learningAn introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.
Stars: ✭ 826 (-98.01%)
Data Science Your WayWays of doing Data Science Engineering and Machine Learning in R and Python
Stars: ✭ 530 (-98.72%)
Awesome Google ColabGoogle Colaboratory Notebooks and Repositories (by @firmai)
Stars: ✭ 863 (-97.92%)
HaxejsDocumentation about using JavaScript with Haxe
Stars: ✭ 25 (-99.94%)
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 (-99.91%)
DeeplearningDeep Learning From Scratch
Stars: ✭ 66 (-99.84%)
Nlp TutorialNatural Language Processing Tutorial for Deep Learning Researchers
Stars: ✭ 9,895 (-76.15%)
Regex In PythonA comprehensive guide for learning regular expressions using Python
Stars: ✭ 58 (-99.86%)
DeeplearningfornlpinpytorchAn IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.
Stars: ✭ 1,744 (-95.8%)
ImageprocessingMicaSense RedEdge and Altum image processing tutorials
Stars: ✭ 139 (-99.66%)
Reinforcement learning tutorial with demoReinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..
Stars: ✭ 442 (-98.93%)
Lis Ynp🔮 Life is short, you need PyTorch.
Stars: ✭ 92 (-99.78%)
RecommendersBest Practices on Recommendation Systems
Stars: ✭ 11,818 (-71.51%)
Python Data Science HandbookA Chinese translation of Jake Vanderplas' "Python Data Science Handbook". 《Python数据科学手册》在线Jupyter notebook中文翻译
Stars: ✭ 102 (-99.75%)