Alternatives and similar repositories for Classification-Model-YT-Video

Users that are interested in Classification-Model-YT-Video are comparing it to the libraries listed below

• hanhanwu / Hanhan_Data_Science_Practice
  data analysis, big data development, cloud, and any other cool things!
  ☆31Updated last year
• RubensZimbres / Repo-2019
  BERT, AWS RDS, AWS Forecast, EMR Spark Cluster, Hive, Serverless, Google Assistant + Raspberry Pi, Infrared, Google Cloud Platform Natura…
  ☆139Updated 4 years ago
• NervanaSystems / aidc-2018-timeseries
  Deep learning for time-series data
  ☆50Updated 3 years ago
• rakshita95 / DeepLearning-time-series
  LSTM for time series forecasting
  ☆28Updated 8 years ago
• budhiraja / DeepLearningExperiments
  Blog @ Medium
  ☆42Updated 9 years ago
• cran2367 / autoencoder_classifier
  Autoencoder model for rare event classification
  ☆104Updated 6 years ago
• poornagurram / TimeSeriesAnalysis_ODSC_2019
  Resources for Data Science Kick Starter Workshop at ODSC India 2019
  ☆20Updated 5 years ago
• llSourcell / Time_Series_Prediction
  This is the code for "Time Series Prediction" By Siraj Raval on Youtube
  ☆192Updated 7 years ago
• tf-dl-workshop / tf-reco-workshop
  Deep Learning with TensorFlow Workshop 1 - Recommender System
  ☆46Updated 8 years ago
• LukasBut / Springboard-Projects
  For all Springboard related work, Capstone projects etc.
  ☆10Updated 6 years ago
• elliebirbeck / model-deployment-flask
  'Deploying machine learning models with a Flask API' tutorial, written for HyperionDev
  ☆65Updated 3 years ago
• AlexWarembourg / Medium
  Repository for medium article
  ☆21Updated 2 years ago
• anirudhpillai16 / Time-Series-Analysis
  This repository contains Time series Analysis and Forecasting tutorial from Analytics Vidhya
  ☆22Updated 7 years ago
• pawangeek / Pytorch-In-Real-Life
  Contains real-life example that can be solved by pytorch
  ☆69Updated 4 years ago
• dipanjanS / explainable_artificial_intelligence
  Slides, code and resources for model interpretation methods in machine learning and deep learning
  ☆33Updated 6 years ago
• Machine-Learning-Tokyo / Intro-to-GANs
  This code was developed for the Intro to GANs workshop for Machine Learning Tokyo (MLT).
  ☆67Updated 6 years ago
• aayushmnit / Data-science-presentation
  Collection of presentation of my work on various platforms and meetups
  ☆22Updated last week
• FavioVazquez / ODSC_India_2018
  My presentation at ODSC India 2018 about Deep Learning with Apache Spark
  ☆27Updated 7 years ago
• CaptainAshis / Deep_Learning-Experiment
  All of my Deep Learning experiments have been summarized in this repository.It includes Pytorch tutorials, SoTA Neural Network classifica…
  ☆10Updated 5 years ago
• analyticsvidhya / LordOftheMachines
  Codes related to Lord of the Machines hackathon
  ☆10Updated 7 years ago
• binga / fastai_notes
  My classnotes, experiments, reproducible notebooks from fast.ai Deep Learning Class (v2)
  ☆36Updated 7 years ago
• vermouth1992 / synthetic-time-series-smart-grid
  Synthetic Time Series Generation using Generative Adversarial Network
  ☆11Updated 5 years ago
• zygmuntz / time-series-classification
  Classifying time series using feature extraction
  ☆85Updated 7 years ago
• drivendataorg / power-laws-forecasting
  Winners of the Power Laws forecasting competition
  ☆64Updated 2 years ago
• drivendataorg / power-laws-anomalies
  ☆32Updated 2 years ago
• drivendataorg / power-laws-cold-start
  ☆24Updated 2 years ago
• ritchieng / the-incredible-tensorflow
  The Incredible TensorFlow 2: a curated list of tutorials, papers, projects, communities and more relating to TensorFlow 2.
  ☆30Updated 6 years ago
• vistalab-technion / cs236605-tutorials
  ☆23Updated 6 years ago
• omarsar / nlp_pycon
  Material for PyCon 2019 NLP Tutorial
  ☆32Updated 6 years ago
• brohrer / cottonwood
  A flexible neural network framework for running experiments and trying ideas.
  ☆81Updated 6 years ago