amirkhango

amirkhango's Stars

• scutan90/DeepLearning-500-questions

  深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

  Language:JavaScript54.7k2.2k18915.9k

• fchollet/deep-learning-with-python-notebooks

  Jupyter notebooks for the code samples of the book "Deep Learning with Python"

  Language:Jupyter Notebook18.7k6531858.7k

• facebook/prophet

  Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

  Language:Python18.4k4522.1k4.5k

• Yorko/mlcourse.ai

  Open Machine Learning Course

  Language:Python9.7k5791315.7k

• yzhao062/anomaly-detection-resources

  Anomaly detection related books, papers, videos, and toolboxes

  Language:Python8.4k283221.8k

• PAIR-code/facets

  Visualizations for machine learning datasets

  Language:Jupyter Notebook7.4k268159887

• tensorflow/adanet

  Fast and flexible AutoML with learning guarantees.

  Language:Jupyter Notebook3.5k173114527

• bethgelab/foolbox

  A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX

  Language:Python2.8k46371426

• edyoda/data-science-complete-tutorial

  For extensive instructor led learning

  Language:Jupyter Notebook1.8k665765

• waleedka/hiddenlayer

  Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.

  Language:Python1.8k4489267

• MLWave/Kaggle-Ensemble-Guide

  Code for the Kaggle Ensembling Guide Article on MLWave

  Language:Python1.5k527557

• kaz-Anova/StackNet

  StackNet is a computational, scalable and analytical Meta modelling framework

  Language:Java1.3k8371344

• robjhyndman/forecast

  Forecasting Functions for Time Series and Linear Models

  Language:R1.1k85639342

• ematvey/tensorflow-seq2seq-tutorials

  Dynamic seq2seq in TensorFlow, step by step

  Language:Jupyter Notebook9974836374

• LongxingTan/Time-series-prediction

  tfts: Time Series Deep Learning Models in TensorFlow

  Language:Python8182319164

• abhayspawar/featexp

  Feature exploration for supervised learning

  Language:Jupyter Notebook7632223163

• sjvasquez/web-traffic-forecasting

  Kaggle | Web Traffic Forecasting 📈

  Language:Python6663013239

• JEddy92/TimeSeries_Seq2Seq

  This repo aims to be a useful collection of notebooks/code for understanding and implementing seq2seq neural networks for time series forecasting. Networks are constructed with keras/tensorflow.

  Language:Jupyter Notebook6052212240

• algorithmdog/Reinforcement_Learning_Blog

  This code is written for the blogs

  Language:Python271322126

• PYFTS/pyFTS

  An open source library for Fuzzy Time Series in Python

  Language:Python264173854

• kristpapadopoulos/seriesnet

  Time series prediction using dilated causal convolutional neural nets (temporal CNN)

  Language:Python232111064

• LukeTonin/keras-seq-2-seq-signal-prediction

  An implementation of a sequence to sequence neural network using an encoder-decoder

  Language:Jupyter Notebook20812265

• mbinkowski/nntimeseries

  Language:Jupyter Notebook20815866

• re-book/ptmst

  Probability Theory and Mathematical Statistics Tutorial

  Language:TeX1986838

• hunkim/KaggleZeroToAll

  Kaggle problem solving

  Language:Jupyter Notebook16821271

• ellisp/forecastxgb-r-package

  An R package for time series models and forecasts with xgboost compatible with {forecast} S3 classes

  Language:HTML140184542

• Semantive/Kaggle-Demand-Forecasting-Models

  Demand Forecasting Models for Kaggle competition

  Language:Jupyter Notebook809350

• soskek/convolutional_seq2seq

  fairseq: Convolutional Sequence to Sequence Learning (Gehring et al. 2017) by Chainer

  Language:Python656316

• phquang/OnlineDeepLearning

  Implementation of Online Hedge Backpropagation

  Language:Python51503

• HFAiLab/FourCastNet

  A global data-driven high-resolution weather model

  Language:Python4019