Bayesian Inverse Graphics for Few-Shot Concept Learning
MIT License
Statistics for this project are still being loaded, please check back later.
Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from In...
[GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregress...
Interactive Image Generation via Generative Adversarial Networks
Hierarchical perception library in Python for pose estimation, object detection, instance segment...
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relat...
Code to accompany the paper "AMP-Inspired Deep Networks for Sparse Linear Inverse Problems"
[CVPR'23, Highlight] ECON: Explicit Clothed humans Optimized via Normal integration
[CVPR2020] Adversarial Latent Autoencoders
Robotics with GPU computing
The Learnable Typewriter: A Generative Approach to Text Line Analysis
Differentiable Factor Graph Optimization for Learning Smoothers @ IROS 2021
Talk for SciPy2015 "Deep Learning: Tips From The Road"
Google Colaboratory Notebooks and Repositories (by @firmai)