Alternatives and similar repositories for deep_learning_works

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

• HusainZafar / TransferLearningTutorial
  Applying transfer learning to a custom dataset by retraining Inception's final layer
  ☆94Updated 8 years ago
• shagunsodhani / pregel
  Tensorflow implementation of Graph Convolutional Network
  ☆77Updated 5 years ago
• jmschrei / notebooks
  Various notebooks and tutorials on subjects of interest.
  ☆36Updated 5 years ago
• jfsantos / keras-tutorial
  Tutorial teaching the basics of Keras and some deep learning concepts
  ☆104Updated 9 years ago
• rasbt / pydata-annarbor2017-dl-tutorial
  Code snippets for "Introduction to Deep Learning with TensorFlow" at PyData Ann Arbor Aug 2017
  ☆80Updated 8 years ago
• bigsnarfdude / SELU_Keras_Tutorial
  Keras based Tutorials and implementations for "Self-normalizing networks" - new activation function SELU
  ☆48Updated 4 years ago
• NathanEpstein / pydata-reinforce
  code for pydata madrid presentation
  ☆53Updated 9 years ago
• uvadlc / uvadlc_practicals_2016
  Repository for practical assignments for UvA Deep Learning Course 2016
  ☆51Updated 8 years ago
• siddharth-agrawal / Convolutional-Neural-Network
  ☆107Updated 7 years ago
• sujitpal / fttl-with-keras
  Transfer Learning and Fine Tuning for Cross Domain Image Classification with Keras
  ☆85Updated 8 years ago
• ilblackdragon / adversarial_workshop
  Adversarial Workshop code and presentation
  ☆38Updated 9 years ago
• kevindewalt / ai-notebooks
  ☆63Updated 7 years ago
• ColeMurray / tensorflow-cnn-tutorial
  Tensorflow tutorial on convolutional neural networks.
  ☆39Updated 8 years ago
• mpearmain / gestalt
  A helper library for data science pipeline
  ☆36Updated 6 years ago
• NawfalTachfine / PredictionAPI
  Tutorial on deploying machine learning models to production
  ☆59Updated 6 years ago
• llSourcell / Which-Activation-Function-Should-I-Use
  This is the code for the "Which Activation Function Should I Use?" video By Siraj Raval on Youtube
  ☆27Updated 8 years ago
• grfiv / MNIST
  Machine Learning analyses of the MNIST database of handwritten digits
  ☆52Updated 8 years ago
• abhishekmalali / TimeFlow
  Tensorflow for Time Series Applications
  ☆68Updated 7 years ago
• mleue / oxford-deep-nlp-2017-solutions
  my solutions for oxford's "deep nlp 2017" practical assignments
  ☆65Updated 8 years ago
• dolaameng / deeplearning-exploration
  Explore different deep-learning frameworks
  ☆18Updated 7 years ago
• llSourcell / How-to-Learn-from-Little-Data
  This is the code for "How to Learn from Little Data - Intro to Deep Learning #17' by Siraj Raval on YouTube
  ☆140Updated 8 years ago
• sujitpal / intro-dl-talk-code
  Jupyter notebooks and code for Intro to DL talk at Genesys
  ☆14Updated 9 years ago
• abhishekkrthakur / automl_gpu
  ☆25Updated 9 years ago
• braz / pycon2016_talk
  The notes and slides from my PyCon Ireland 2016 PyData talk an introduction to gradient boosting
  ☆18Updated 9 years ago
• alvarouc / mlp
  Multilayer Perceptron Keras wrapper for sklearn
  ☆69Updated 3 years ago
• mila-iqia / summerschool2017
  Material for the Montréal Deep Learning Summer School 2017
  ☆77Updated 8 years ago
• rizalzaf / adversarial-multiclass
  Adversarial Multiclass Classification: A Risk Minimization Perspective
  ☆28Updated 5 years ago
• mineshmathew / char_rnn_karpathy_keras
  Language modellling using RNNs
  ☆55Updated 8 years ago
• ieee8023 / NeuralNetwork-Examples
  The same small networks implemented in different frameworks
  ☆70Updated 5 years ago
• MLWave / kaggle_acquire-valued-shoppers-challenge
  Code for the Kaggle acquire valued shoppers challenge
  ☆66Updated 11 years ago