HandysparkHandySpark - bringing pandas-like capabilities to Spark dataframes
Stars: ✭ 158 (-10.23%)
TenetOfficial Pytorch Implementation for Trinity of Pixel Enhancement: a Joint Solution for Demosaicing, Denoising and Super-Resolution
Stars: ✭ 157 (-10.8%)
Gpt2 Bert Reddit Bota bot that generates realistic replies using a combination of pretrained GPT-2 and BERT models
Stars: ✭ 158 (-10.23%)
Covid19 mobilityCOVID-19 Mobility Data Aggregator. Scraper of Google, Apple, Waze and TomTom COVID-19 Mobility Reports🚶🚘🚉
Stars: ✭ 156 (-11.36%)
Cinic 10A drop-in replacement for CIFAR-10.
Stars: ✭ 172 (-2.27%)
PythonroboticsPython sample codes for robotics algorithms.
Stars: ✭ 13,934 (+7817.05%)
PpnpPPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)
Stars: ✭ 177 (+0.57%)
MmeditingOpenMMLab Image and Video Editing Toolbox
Stars: ✭ 2,618 (+1387.5%)
WwcodedatascienceContent, Code & Resources for WWCodeDataScience Events https://www.womenwhocode.com/datascience
Stars: ✭ 167 (-5.11%)
Pikachu DetectionDetecting Pikachu on Android using Tensorflow Object Detection API
Stars: ✭ 157 (-10.8%)
LisrdLocal Invariance Selection at Runtime for Descriptors (LISRD)
Stars: ✭ 166 (-5.68%)
Machine Learning Workflow With PythonThis is a comprehensive ML techniques with python: Define the Problem- Specify Inputs & Outputs- Data Collection- Exploratory data analysis -Data Preprocessing- Model Design- Training- Evaluation
Stars: ✭ 157 (-10.8%)
Kdd18 GluonKDD18 Tutorial: Deep Learning and Natural Language Processing with Apache MXNet (Incubating) Gluon
Stars: ✭ 174 (-1.14%)
Tensorflow TutorialPractical tutorials and labs for TensorFlow used by Nvidia, FFN, CNN, RNN, Kaggle, AE
Stars: ✭ 1,954 (+1010.23%)
ZigzagPython library for identifying the peaks and valleys of a time series.
Stars: ✭ 156 (-11.36%)
Awesome Dl ProjectsThis is a collection of the code that accompanies the reports in The Gallery by Weights & Biases.
Stars: ✭ 171 (-2.84%)
Pastas🍝 Pastas is an open-source Python framework for the analysis of hydrological time series.
Stars: ✭ 155 (-11.93%)
NeuralimagesynthesisCode to reproduce the results from the paper "Controlling Perceptual Factors in Neural Style Transfer" (https://arxiv.org/abs/1611.07865).
Stars: ✭ 165 (-6.25%)
CourseramlI took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because I love jupyter notebooks!
Stars: ✭ 1,911 (+985.8%)
Fairseq Zh EnNMT for chinese-english using fairseq
Stars: ✭ 155 (-11.93%)
HunterA threat hunting / data analysis environment based on Python, Pandas, PySpark and Jupyter Notebook.
Stars: ✭ 166 (-5.68%)
Coms4995 S18COMS W4995 Applied Machine Learning - Spring 18
Stars: ✭ 156 (-11.36%)
Sklearn pycon2013Files for my scikit-learn tutorial at PyCon 2013
Stars: ✭ 171 (-2.84%)
AnomaliesinoptionsIn this notebook we will explore a machine learning approach to find anomalies in stock options pricing.
Stars: ✭ 155 (-11.93%)
CorusLinks to Russian corpora + Python functions for loading and parsing
Stars: ✭ 154 (-12.5%)
DatageneDataGene - Identify How Similar TS Datasets Are to One Another (by @firmai)
Stars: ✭ 156 (-11.36%)
Pandas TutorialMaterial for the pandas tutorial at EuroScipy 2016
Stars: ✭ 171 (-2.84%)
Py QuantmodPowerful financial charting library based on R's Quantmod | http://py-quantmod.readthedocs.io/en/latest/
Stars: ✭ 155 (-11.93%)
FasnetCNN archictecture for face anti-spoofing
Stars: ✭ 166 (-5.68%)
Prefetch generatorSimple package that makes your generator work in background thread
Stars: ✭ 174 (-1.14%)
F1sherkk MyroadtoaiRepository for storing and tracking my self-study progress.
Stars: ✭ 166 (-5.68%)
MgwrMultiscale Geographically Weighted Regression (MGWR)
Stars: ✭ 155 (-11.93%)
TimesynthA Multipurpose Library for Synthetic Time Series Generation in Python
Stars: ✭ 170 (-3.41%)
Spiking Neural Network Snn With Pytorch Where Backpropagation Engenders StdpWhat about coding a Spiking Neural Network using an automatic differentiation framework? In SNNs, there is a time axis and the neural network sees data throughout time, and activation functions are instead spikes that are raised past a certain pre-activation threshold. Pre-activation values constantly fades if neurons aren't excited enough.
Stars: ✭ 155 (-11.93%)
StocksPrograms for stock prediction and evaluation
Stars: ✭ 155 (-11.93%)
LolitaUsing github's issue system as lightweight notes & blog.
Stars: ✭ 161 (-8.52%)
PyRepository to store sample python programs for python learning
Stars: ✭ 4,154 (+2260.23%)
Machine learningEstudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.
Stars: ✭ 161 (-8.52%)
FgsegnetFgSegNet: Foreground Segmentation Network, Foreground Segmentation Using Convolutional Neural Networks for Multiscale Feature Encoding
Stars: ✭ 165 (-6.25%)
Cs1001.pyRecitation notebooks for Extended Introduction to Computer Science with Python as Tel-Aviv University
Stars: ✭ 176 (+0%)