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The official repository of BFSR: "Boosting Flow-based Generative Super-Resolution Models via Learned Prior" [CVPR 2024]
Unofficial pytorch implementation of DDVM.
(ෆ`꒳´ෆ) A Survey on Text-to-Image Generation/Synthesis.
Simple data and simple models to learn the fundamentals of deep learning.
Collect some papers about transformer for detection and segmentation. Awesome Detection Transformer for Computer Vision (CV)
[ICML 2021, Long Talk] Delving into Deep Imbalanced Regression
Learn fast, scalable, and calibrated measures of uncertainty using neural networks!
InfinityGAN: Towards Infinite-Resolution Image Synthesis
A curated list of resources for Learning with Noisy Labels
[ECCV 2020, IJCV 2022] Invertible Image Rescaling
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"
A curated list of resources on implicit neural representations.
Lists the papers related to imbalance problems in object detection [TPAMI]
Implementing Bayes by Backprop
[CVPR 2020] 3D Photography using Context-aware Layered Depth Inpainting
realtime playback and synchronization of periodic signals... or music
Notebooks about Bayesian methods for machine learning
Code for the ICCV 2019 paper "Sampling-free Epistemic Uncertainty Estimation Using Approximated Variance Propagation"
Image rotation and cropping out the black borders in TensorFlow
PyTorch-SSO: Scalable Second-Order methods in PyTorch
Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.
Methods and Implements of Deep Clustering
Implementation of One-Shot Object Detection with Co-Attention and Co-Excitation in Pytorch
[CVPR2019]Learning Not to Learn : An adversarial method to train deep neural networks with biased data
TensorFlow tutorials and best practices.