Machine-Learning-Tokyo / DL-workshop-series
Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)
β936Updated last year
Alternatives and similar repositories for DL-workshop-series:
Users that are interested in DL-workshop-series are comparing it to the libraries listed below
- Contains my explorations of TensorFlow 2.xβ380Updated 2 years ago
- π₯ A collection of PyTorch notebooks for learning and practicing deep learningβ562Updated 2 years ago
- Implementation of some classic Machine Learning model from scratch and benchmarking against popular ML libraryβ595Updated 5 years ago
- Research papers with annotations, illustrations and explanationsβ828Updated 4 years ago
- PyTorch Tutorial (1.7)β456Updated 4 years ago
- β342Updated 4 years ago
- Notebooks for my "Deep Learning with TensorFlow 2 and Keras" courseβ1,915Updated last year
- A few notebooks about deep learning in pytorchβ586Updated 6 years ago
- Machine learning notebooks in different subjects optimized to run in google collaboratoryβ370Updated 5 years ago
- The Hitchiker's Guide to PyTorchβ1,197Updated 3 years ago
- β504Updated 8 months ago
- Machine Learning Conference & Summer School Notes. π¦β572Updated 4 years ago
- π Tensorflow 2.x resources such as tutorial, blog, code and videosβ524Updated 2 years ago
- fast.ai early development experimentsβ645Updated 2 years ago
- Notes and summaries of various ML, Computer Vision & NLP papers.β560Updated 2 years ago
- STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)β568Updated 4 years ago
- Material for the tutorial: "Deep Diving into GANs: from theory to production"β206Updated 2 years ago
- Tutorial for International Summer School on Deep Learning, 2019β317Updated 3 years ago
- Lab materials for the Full Stack Deep Learning Courseβ1,209Updated 2 years ago
- Practical Exercises in TensorFlow 2.0 for Ian Goodfellows Deep Learning Bookβ299Updated 5 years ago
- Jupyter Tips, Tricks, Best Practices with Sample Code for Productivity Boostβ422Updated 6 years ago
- Code and assignment repository for the Imperial College Mathematics department Deep Learning courseβ263Updated 6 years ago
- Course material for STAT 479: Machine Learning (FS 2018) at University Wisconsin-Madisonβ492Updated 6 years ago
- Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madisonβ532Updated 5 years ago
- PyTorch tutorials and best practices.β1,682Updated last month
- YOLOv2 Object Detection w/ Keras (in just 20 lines of code)β328Updated 6 years ago
- UI visual interface for fastai - now compatible with Google Colabβ250Updated 4 years ago
- Practical notebooks for Khipu 2019, held in Universidad de la RepΓΊblica in Montevideo.β243Updated 5 years ago
- List of DL topics and resources essential for cracking interviewsβ447Updated 2 years ago
- π΅οΈββοΈ Interpreting Convolutional Neural Network (CNN) Results.β177Updated 4 months ago