Alternatives and similar repositories for how_optimization_works:

Users that are interested in how_optimization_works are comparing it to the libraries listed below

• binga / DataHackSummit_2017
  Apache Zeppelin notebooks for Recommendation Engines using Keras and Machine Learning on Apache Spark
  ☆32Updated 7 years ago
• jayinai / kaggle-sequence
  A compiled list of kaggle competitions and their winning solutions for sequence problems.
  ☆35Updated 8 years ago
• rasbt / pydata-annarbor2017-dl-tutorial
  Code snippets for "Introduction to Deep Learning with TensorFlow" at PyData Ann Arbor Aug 2017
  ☆80Updated 7 years ago
• llSourcell / Dimensionality_Reduction
  This is the Code for "Dimensionality Reduction - The Math of Intelligence #5" By Siraj Raval on Youtube
  ☆50Updated 7 years ago
• jayinai / kaggle-image
  A compiled list of kaggle competitions and their winning solutions for image problems.
  ☆53Updated 8 years ago
• TarrySingh / Deep-Learning-Papers-Reading-Roadmap
  Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
  ☆73Updated last year
• parneetk / Neural-Networks-in-Keras
  ☆29Updated 7 years ago
• FavioVazquez / ODSC_India_2018
  My presentation at ODSC India 2018 about Deep Learning with Apache Spark
  ☆27Updated 6 years ago
• aayushmnit / Data-science-presentation
  Collection of presentation of my work on various platforms and meetups
  ☆22Updated 6 years ago
• amueller / talks_odt
  Slides and materials for most of my talks by year
  ☆92Updated last year
• neerjad / MachineLearning
  A repo with tutorials for algorithms from scratch
  ☆99Updated 6 years ago
• nfmcclure / DataScience350
  Notes for Data Science 350 Class
  ☆24Updated 8 years ago
• mxbi / mlnd-capstone
  ML Nanodegree Capstone Project - Predicting NYC Taxi Trip Duration
  ☆12Updated 7 years ago
• thismlguy / AJ_ML_Library
  This library is a wrapper for sklearn and works with data stored using Pandas module.
  ☆17Updated 9 years ago
• anthony-chaudhary / tensorboard-rnn-example
  ☆15Updated 7 years ago
• udacity / PyTorchCrashCourse
  A few notebooks on deep learning with PyTorch
  ☆45Updated 2 years ago
• binga / AnalyticsVidhya_BlackFriday
  Codes for the Analytics Vidhya Black Friday Hackathon
  ☆12Updated 9 years ago
• priya-dwivedi / Udacity-ML-Nano-Degree
  ☆26Updated 8 years ago
• adeshpande3 / NLP-Stuff
  Programs with word vectors, RNN, NLP stuff, etc
  ☆18Updated 8 years ago
• thedataincubator / DS30_4
  Brian Farris' Talk on Reinforcement Learning and Multi-Armed Bandits for the Data Incubator
  ☆30Updated 6 years ago
• FavioVazquez / deep-learning-pyspark
  Deep Learning with Apache Spark and Deep Cognition
  ☆59Updated 6 years ago
• NawfalTachfine / PredictionAPI
  Tutorial on deploying machine learning models to production
  ☆59Updated 5 years ago
• kaz-Anova / Competitive_Dai
  The code to generate a top 20 score in the amazon classification challenge using Driverless AI's predictions and feature engineering : In…
  ☆18Updated 7 years ago
• llSourcell / Kaggle_Challenge_LIVE
  This is the code for "Kaggle Challenge (LIVE)" by Siraj Raval on Youtube
  ☆61Updated 6 years ago
• vopani / AnalyticsVidhya_SmartRecruit
  The Smart Recruit hackathon on AnalyticsVidhya
  ☆17Updated 8 years ago
• SudalaiRajkumar / NLP
  Generic codes related to NLP
  ☆85Updated 6 years ago
• shik3519 / machine-learning
  Implementation of different machine learning techniques
  ☆94Updated 6 years ago
• kevindewalt / ai-notebooks
  ☆63Updated 6 years ago
• llSourcell / Deep_Learning_with_Intel
  This is the code for "Deep Learning with Intel" By Siraj Raval on Youtube
  ☆38Updated 6 years ago
• DebPanigrahi / Machine-Learning
  Machine learning algorithms
  ☆112Updated 6 years ago