SkalskiP / ILearnDeepLearning.py
This repository contains small projects related to Neural Networks and Deep Learning in general. Subjects are closely linekd with articles I publish on Medium. I encourage you both to read as well as to check how the code works in the action.
ā1,367Updated last year
Alternatives and similar repositories for ILearnDeepLearning.py:
Users that are interested in ILearnDeepLearning.py are comparing it to the libraries listed below
- Attempting to make the Deep Learning Book easier to understand.ā1,074Updated 6 years ago
- š Tensorflow 2.x resources such as tutorial, blog, code and videosā524Updated 2 years ago
- Notebooks for my "Deep Learning with TensorFlow 2 and Keras" courseā1,911Updated last year
- Implementations of a number of generative models in Tensorflow 2. GAN, VAE, Seq2Seq, VAEGAN, GAIA, Spectrogram Inversion. Everything is sā¦ā998Updated 3 years ago
- The basic distribution probability Tutorial for Deep Learning Researchersā1,628Updated 4 years ago
- Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)ā1,784Updated 4 years ago
- PyTorch tutorials and best practices.ā1,675Updated 2 years ago
- PyTorch Tutorial (1.7)ā456Updated 4 years ago
- Contains my explorations of TensorFlow 2.xā380Updated 2 years ago
- ā503Updated 5 months ago
- Practical Exercises in TensorFlow 2.0 for Ian Goodfellows Deep Learning Bookā299Updated 5 years ago
- Research Framework for easy and efficient training of GANs based on Pytorchā1,408Updated 2 years ago
- code for deep learning coursesā1,098Updated last week
- Deep learning simplified by transferring prior learning using the Python deep learning ecosystemā831Updated 4 years ago
- Deep learning library in plain Numpy.ā321Updated 2 years ago
- Explaining the Math of how neural networks learnā373Updated 5 years ago
- Pytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codesā432Updated 5 years ago
- Companion repository to GANs in Action: Deep learning with Generative Adversarial Networksā1,014Updated last year
- Deep Learning with PyTorch, published by Packtā456Updated 2 years ago
- Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)ā937Updated last year
- An optimizer that trains as fast as Adam and as good as SGD.ā2,910Updated last year
- Generative Adversarial Networks implemented in PyTorch and Tensorflowā836Updated 2 years ago
- š¦A PyTorch implementation of BigGAN with pretrained weights and conversion scripts.ā1,028Updated 4 years ago
- Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlowā339Updated 4 years ago
- Seminars DeepBayes Summer School 2018ā1,046Updated 5 years ago
- VIP cheatsheets for Stanford's CS 230 Deep Learningā6,448Updated 4 years ago
- Notes and summaries of various ML, Computer Vision & NLP papers.ā561Updated 2 years ago
- In-depth tutorials for implementing deep learning models on your own with PyTorch.ā1,531Updated last year
- Building Convolutional Neural Networks From Scratch using NumPyā578Updated last year
- Code repository for TensorFlow Machine Learning Cookbook by Packtā562Updated 2 years ago