YSDA_deeplearning17
Course materials
Repository containing lecture and seminar materials for a deep learning course taught in 2017
Yandex SDA classes on deep learning. Version of year 2017
116 stars
28 watching
63 forks
Language: Jupyter Notebook
last commit: over 8 years ago
Linked from 1 awesome list
deep-learninghomeworkimage-recognitionneural-networkseminar
mrgloom/awesome-semantic-segmentationRelated projects:
| Repository | Description | Stars |
|---|---|---|
 tdeboissiere/deeplearningimplementations | A collection of implementations of recent deep learning papers in Python | 1,814 |
 britefury/deep-learning-tutorial-pydata | A tutorial project providing guidance on building and training deep learning models using PyData | 85 |
 yannael/bigdataanalytics_infoh515 | A collection of Jupyter notebooks teaching Big Data Analytics with Spark and machine learning concepts | 59 |
 mila-iqia/summerschool2015 | Provides slides and exercises for teaching deep learning concepts to students | 392 |
 alphasmartdog/deeplearningnotes | A collection of notes and models on deep learning for quantitative analysis and machine learning. | 368 |
 vict0rsch/deep_learning | A collection of tutorials and resources on implementing deep learning models using Python libraries such as Keras and Lasagne. | 426 |
 coreylowman/dfdx | A deep learning library for Rust with GPU acceleration and ergonomic API. | 1,754 |
 yusugomori/deeplearning.coffee | A collection of simple JavaScript implementations of deep learning concepts | 35 |
 dustinstansbury/medal | A Matlab environment for training and using various deep learning architectures | 109 |
 furkanu/deeplearning.ai-pytorch | Re-implementation of Coursera's Deep Learning specialization assignments in PyTorch | 149 |
 totti0223/deep_learning_for_biologists_with_keras | Tutorials and notebooks for learning deep learning with Keras in biological contexts | 105 |
 yandex/rep | A toolset for building and running reproducible machine learning experiments in Python | 689 |
 darshandeshpande/jax-models | Provides a collection of deep learning models and utilities in JAX/Flax for research purposes. | 151 |
 jakevdp/sklearn_pycon2015 | Materials and code for a PyCon 2015 tutorial on machine learning with scikit-learn | 896 |
 gee-community/ee-tensorflow-notebooks | Repository providing example notebooks for Deep Learning applications with TensorFlow and Earth Engine. | 76 |