Best Of Jupyter🏆 A ranked list of awesome Jupyter Notebook, Hub and Lab projects (extensions, kernels, tools). Updated weekly.
Stars: ✭ 200 (-6.54%)
Sttn[ECCV'2020] STTN: Learning Joint Spatial-Temporal Transformations for Video Inpainting
Stars: ✭ 211 (-1.4%)
DexplotSimple plotting library that wraps Matplotlib and integrated with DataFrames
Stars: ✭ 208 (-2.8%)
Godot oculus quest toolkitAn easy to use VR toolkit for Oculus Quest development using the Godot game engine
Stars: ✭ 207 (-3.27%)
WindroseA Python Matplotlib, Numpy library to manage wind data, draw windrose (also known as a polar rose plot), draw probability density function and fit Weibull distribution
Stars: ✭ 208 (-2.8%)
MdrepoRepositório para armazenamento de código e notebooks de postagens do blog e cursos.
Stars: ✭ 210 (-1.87%)
Noise2selfA framework for blind denoising with self-supervision.
Stars: ✭ 211 (-1.4%)
FlamlA fast and lightweight AutoML library.
Stars: ✭ 205 (-4.21%)
SquadBuilding QA system for Stanford Question Answering Dataset
Stars: ✭ 213 (-0.47%)
CartoframesCARTO Python package for data scientists
Stars: ✭ 208 (-2.8%)
Bitcoin predictionThis is the code for "Bitcoin Prediction" by Siraj Raval on Youtube
Stars: ✭ 214 (+0%)
MonthofjuliaSome code examples gathered during my Month of Julia.
Stars: ✭ 209 (-2.34%)
Hardware introductionWhat scientific programmers must know about CPUs and RAM to write fast code.
Stars: ✭ 209 (-2.34%)
DeeplearningSome practices about deep learning
Stars: ✭ 210 (-1.87%)
Algforopt NotebooksJupyter notebooks associated with the Algorithms for Optimization textbook
Stars: ✭ 210 (-1.87%)
Eli5A library for debugging/inspecting machine learning classifiers and explaining their predictions
Stars: ✭ 2,477 (+1057.48%)
TfwssWeakly Supervised Segmentation with Tensorflow. Implements instance segmentation as described in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017).
Stars: ✭ 212 (-0.93%)
AcademyRay tutorials from Anyscale
Stars: ✭ 210 (-1.87%)
PythonnumericaldemosWell-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.
Stars: ✭ 213 (-0.47%)
Intro Numerical MethodsJupyter notebooks and other materials developed for the Columbia course APMA 4300
Stars: ✭ 210 (-1.87%)
Exerciseexercise for nndl
Stars: ✭ 2,649 (+1137.85%)
Kekoxtutorial전 세계의 멋진 케라스 문서 및 튜토리얼을 한글화하여 케라스x코리아를 널리널리 이롭게합니다.
Stars: ✭ 213 (-0.47%)
Drn cvpr2020Code and Dataset for CVPR2020 "Dynamic Refinement Network for Oriented and Densely Packed Object Detection"
Stars: ✭ 212 (-0.93%)
Pytorch ByolPyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning
Stars: ✭ 213 (-0.47%)
DeepconvlstmDeep learning framework for wearable activity recognition based on convolutional and LSTM recurretn layers
Stars: ✭ 211 (-1.4%)
Python BootcampPython Bootcamp docs and lectures (UC Berkeley)
Stars: ✭ 208 (-2.8%)
Tensorflow Without A PhdA crash course in six episodes for software developers who want to become machine learning practitioners.
Stars: ✭ 2,488 (+1062.62%)
MldlMachine Learning and Deep Learning Resources
Stars: ✭ 211 (-1.4%)
TutmomTutorial on "Modern Optimization Methods in Python"
Stars: ✭ 214 (+0%)
Coloring T SneExploration of methods for coloring t-SNE.
Stars: ✭ 211 (-1.4%)
Covid19zaCoronavirus COVID-19 (2019-nCoV) Data Repository and Dashboard for South Africa
Stars: ✭ 208 (-2.8%)
Neural decodingA python package that includes many methods for decoding neural activity
Stars: ✭ 212 (-0.93%)
Sc17SuperComputing 2017 Deep Learning Tutorial
Stars: ✭ 211 (-1.4%)
Stereo TransformerOfficial Repo for Stereo Transformer: Revisiting Stereo Depth Estimation From a Sequence-to-Sequence Perspective with Transformers.
Stars: ✭ 211 (-1.4%)
Dianjing点睛 - 头条号文章标题生成工具 (Dianjing, AI to write Title for Articles)
Stars: ✭ 214 (+0%)
Skiftscikit-learn wrappers for Python fastText.
Stars: ✭ 213 (-0.47%)
Hindi2vecState-of-the-Art Language Modeling and Text Classification in Hindi Language
Stars: ✭ 211 (-1.4%)