DtsmakeTypeScript 's type definition file (*.d.ts files) generator tool from JavaScript files.
Stars: ✭ 231 (-7.6%)
Bigquery Oreilly BookSource code accompanying: BigQuery: The Definitive Guide by Lakshmanan & Tigani to be published by O'Reilly Media
Stars: ✭ 246 (-1.6%)
Pixel level land classificationTutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.
Stars: ✭ 217 (-13.2%)
Datasetssource{d} datasets ("big code") for source code analysis and machine learning on source code
Stars: ✭ 231 (-7.6%)
GenerateA new command line tool and developer framework for scaffolding out GitHub projects. Generate offers the robustness and configurability of Yeoman, the expressiveness and simplicity of Slush, and more powerful flow control and composability than either.
Stars: ✭ 238 (-4.8%)
1833518.335 - Introduction to Numerical Methods course
Stars: ✭ 228 (-8.8%)
JetcamEasy to use Python camera interface for NVIDIA Jetson
Stars: ✭ 242 (-3.2%)
Nanodet⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥
Stars: ✭ 3,640 (+1356%)
PaddlehelixBio-Computing Platform featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集
Stars: ✭ 213 (-14.8%)
Retail Demo StoreAWS Retail Demo Store is a sample retail web application and workshop platform demonstrating how AWS infrastructure and services can be used to build compelling customer experiences for eCommerce, retail, and digital marketing use-cases
Stars: ✭ 238 (-4.8%)
Malware DetectionMalware Detection and Classification Using Machine Learning
Stars: ✭ 217 (-13.2%)
Stock market predictionThis is the code for "Stock Market Prediction" by Siraj Raval on Youtube
Stars: ✭ 217 (-13.2%)
PomegranateFast, flexible and easy to use probabilistic modelling in Python.
Stars: ✭ 2,789 (+1015.6%)
MattnetMAttNet: Modular Attention Network for Referring Expression Comprehension
Stars: ✭ 232 (-7.2%)
TutorialsAI-related tutorials. Access any of them for free → https://towardsai.net/editorial
Stars: ✭ 204 (-18.4%)
DeeptexturesCode to synthesise textures using convolutional neural networks as described in Gatys et al. 2015 (http://arxiv.org/abs/1505.07376)
Stars: ✭ 241 (-3.6%)
Co MochaEnable support for generators in Mocha tests
Stars: ✭ 216 (-13.6%)
Statannotadd statistical annotations (pvalue significance) on an existing boxplot generated by seaborn boxplot
Stars: ✭ 228 (-8.8%)
Rl Adventure 2PyTorch0.4 implementation of: actor critic / proximal policy optimization / acer / ddpg / twin dueling ddpg / soft actor critic / generative adversarial imitation learning / hindsight experience replay
Stars: ✭ 2,633 (+953.2%)
Talks Stars: ✭ 247 (-1.2%)
TensorfaceThis repo is deprecated, please use Deep Video Analytics which implements face recognition using TensorFlow and Facenet.
Stars: ✭ 215 (-14%)
Python lectures파이썬Python 강의에 사용되는 소스코드Source Code와 강의 자료들을 모은 repository 입니다.
Stars: ✭ 214 (-14.4%)
CompanienvCompanion for .env files
Stars: ✭ 241 (-3.6%)
Pytorch LapsrnPytorch implementation for LapSRN (CVPR2017)
Stars: ✭ 215 (-14%)
Introduction To PythonPython is an interpreted, high-level, general-purpose programming language. Created by Guido van Rossum and first released in 1991, Python's design philosophy emphasizes code readability with its notable use of significant white space. (This repository contains Python 3 Code)
Stars: ✭ 232 (-7.2%)
Pytorch SuperpointSuperpoint Implemented in PyTorch: https://arxiv.org/abs/1712.07629
Stars: ✭ 214 (-14.4%)
Pytorch ByolPyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning
Stars: ✭ 213 (-14.8%)
PyconvPyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)
Stars: ✭ 231 (-7.6%)
TutmomTutorial on "Modern Optimization Methods in Python"
Stars: ✭ 214 (-14.4%)
PythonnumericaldemosWell-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.
Stars: ✭ 213 (-14.8%)
ModelsModel Zoo for Intel® Architecture: contains Intel optimizations for running deep learning workloads on Intel® Xeon® Scalable processors
Stars: ✭ 248 (-0.8%)
Kekoxtutorial전 세계의 멋진 케라스 문서 및 튜토리얼을 한글화하여 케라스x코리아를 널리널리 이롭게합니다.
Stars: ✭ 213 (-14.8%)
DagmmMy attempt at reproducing the paper Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection
Stars: ✭ 231 (-7.6%)
Pytorch Sentiment AnalysisTutorials on getting started with PyTorch and TorchText for sentiment analysis.
Stars: ✭ 3,209 (+1183.6%)
PollinateTemplate your base files and generate new projects from Git(Hub).
Stars: ✭ 213 (-14.8%)
Neural decodingA python package that includes many methods for decoding neural activity
Stars: ✭ 212 (-15.2%)
Box Plots SklearnAn implementation of some of the tools used by the winner of the box plots competition using scikit-learn.
Stars: ✭ 245 (-2%)
Gpt2botYour new Telegram buddy powered by transformers
Stars: ✭ 228 (-8.8%)
FouriertalkosconPresentation Materials for my "Sound Analysis with the Fourier Transform and Python" OSCON Talk.
Stars: ✭ 244 (-2.4%)
End2end All ConvDeep Learning to Improve Breast Cancer Detection on Screening Mammography
Stars: ✭ 236 (-5.6%)
R C3dcode for R-C3D
Stars: ✭ 238 (-4.8%)
Pydata BookMaterials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Stars: ✭ 16,386 (+6454.4%)
DataData and code behind the articles and graphics at FiveThirtyEight
Stars: ✭ 15,241 (+5996.4%)
Keras ElmoHow to use ELMo embeddings in Keras with Tensorflow Hub
Stars: ✭ 247 (-1.2%)