Alternatives and similar repositories for CSC_deeplearning

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

• yandexdataschool / MLatGradDays
  Course of Machine Learning in Science and Industry at Heidelberg university
  ☆47Updated 8 years ago
• yell / mnist-challenge
  My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]
  ☆70Updated 6 years ago
• yandexdataschool / MLatImperial2016
  Materials for the course of machine learning at Imperial College organized by YSDA
  ☆23Updated 9 years ago
• yandexdataschool / mlhep2015
  MLHEP 2015 materials (http://hse.ru/mlhep2015)
  ☆19Updated 10 years ago
• yandexdataschool / MLatImperial2017
  Materials for the course of machine learning at Imperial College organized by Yandex SDA
  ☆84Updated 8 years ago
• Bihaqo / exp-machines
  Exponential Machines implementation
  ☆42Updated 8 months ago
• thomasjpfan / skconfig
  Experimental library for sampling and validating scikit-learn parameters
  ☆10Updated 6 years ago
• ddtm / dl-course
  DL Course Materials
  ☆106Updated 8 years ago
• abhishekkrthakur / automl_gpu
  ☆25Updated 9 years ago
• ADGEfficiency / dsr-rl
  Reinforcement learning course at Data Science Retreat
  ☆42Updated 6 years ago
• cavaunpeu / gaussian-processes
  A thorough, straightforward, un-intimidating introduction to Gaussian processes in NumPy.
  ☆16Updated 7 years ago
• DeepLearningDTU / nvidia_deep_learning_summercamp_2016
  Lasagne / Theano tutorials for Nvidia Deep Learning Summercamp 2016
  ☆26Updated 9 years ago
• szilard / benchm-dl
  Playing with various deep learning tools and network architectures
  ☆70Updated 8 years ago
• fastai / randomized-SVD
  demos for PyBay talk: Using Randomness to make code faster
  ☆51Updated 8 years ago
• oleg-panichev / kinoa
  ☆18Updated 7 years ago
• jnothman / searchgrid
  Helpers for constructing scikit-learn grid search
  ☆38Updated 5 years ago
• AI-ON / deep-embedding
  Discovering deep embedding spaces for Psychiatric imaging
  ☆16Updated 7 years ago
• yandexdataschool / mlhep2016
  Machine Learning in High Energy Physics 2016
  ☆76Updated 6 years ago
• caioaao / wolpert
  A stacked generalization framework. Built on top of scikit learn
  ☆58Updated 2 years ago
• GaelVaroquaux / interpreting_ml_tuto
  Tutorial on interpreting and understanding machine learning models
  ☆69Updated 7 years ago
• MLWave / Black-Boxxy
  Some experiments into explaining complex black box ensemble predictions.
  ☆74Updated 5 years ago
• mrocklin / dask-workshop
  ☆28Updated 8 years ago
• godardt / torchlite
  A high level library on top of machine learning frameworks
  ☆31Updated 3 years ago
• ahug / amld-pytorch-workshop
  Introduction to PyTorch Workshop at the AMLD 2019
  ☆31Updated 6 years ago
• nlml / np-to-tf-embeddings-visualiser
  Quick function to go from a dictionary of sets of (images, labels, feature vectors) to checkpoints that can be opened in Tensorboard
  ☆33Updated 7 years ago
• sigopt / sigopt-sklearn
  SigOpt wrappers for scikit-learn methods
  ☆75Updated 2 years ago
• glouppe / notebooks
  Random fiddling stored in notebooks
  ☆22Updated 8 years ago
• 5vision / blackbox
  ☆12Updated 9 years ago
• craffel / Lasagne-tutorial
  Adding an ipynb tutorial to Lasagne
  ☆53Updated 8 years ago
• zygmuntz / Python-ELM
  Extreme Learning Machine implementation in Python
  ☆45Updated 11 years ago