Pedagogical
webpage for maintaining the list of openly available DL, ML, RL, Vision, NLP, Optimization courses
Curated materials for different machine learning related summer schools
🌲 Stanford CS 228 - Probabilistic Graphical Models
Sample code for the Model-Based Machine Learning book.
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
A collection of AWESOME things about domian adaptation
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Evolutionary Algorithm using Python, 莫烦Python 中文AI教学
DGMs for NLP. A roadmap.
Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows
👩🏫 Advanced NLP with spaCy: A free online course
Experiments for understanding disentanglement in VAE latent representations
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
Generative Adversarial Networks implemented in PyTorch and Tensorflow
A Collection of Variational Autoencoders (VAE) in PyTorch.
A PyTorch re-implementation of Neural Radiance Fields
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
A resource repository for 3D machine learning
Texture mapping with variational auto-encoders
An idea for inpainting with unconditional GANs
Avatars for Zoom, Skype and other video-conferencing apps.
Distributed Machine Learning Patterns from Manning Publications by Yuan Tang https://bit.ly/2RKv8Zo
A minimal implementation of Gaussian process regression in PyTorch
NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning
Ensembling Off-the-shelf Models for GAN Training (CVPR 2022 Oral)
Generate beautifully modern (2021+) Python projects with seamless, GitHub-based CI/CD, Docker and Conda support, and out-of-the-box integration with >30 best-practices tools and standards.