Dimitris Papatheodorou's starred repositories
Made-With-ML
Learn how to design, develop, deploy and iterate on production-grade ML applications.
rust-learning
A bunch of links to blog posts, articles, videos, etc for learning Rust
d2l-pytorch
This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
semi-supervised-pytorch
Implementations of various VAE-based semi-supervised and generative models in PyTorch
pytorch-for-numpy-users
PyTorch for Numpy users. https://pytorch-for-numpy-users.wkentaro.com
deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
namedtensor
Named Tensor implementation for Torch
SigmodContest2018
Granma Team @ EPFL - Queries Execution and Optimization
pytorch-capsule
Pytorch implementation of Hinton's Dynamic Routing Between Capsules
machine-learning-mindmap
A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.
latex-advice
Advice for writing LaTeX documents
TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Awesome-Deep-Learning-Resources
Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier
cppbestpractices
Collaborative Collection of C++ Best Practices. This online resource is part of Jason Turner's collection of C++ Best Practices resources. See README.md for more information.