Bluedotdot2021 / PRML-book_review
PRML Page-by-page配套资料,对PRML全书及各章节的review
☆14Updated 10 months ago
Alternatives and similar repositories for PRML-book_review:
Users that are interested in PRML-book_review are comparing it to the libraries listed below
- ☆35Updated 4 years ago
- Advanced Dropout: A Model-free Methodology for Bayesian Dropout Optimization (IEEE TPAMI 2021)☆17Updated 3 years ago
- A simple program scheduler for your code on different devices.☆11Updated 6 months ago
- Code for our paper "On Out-of-distribution detection with Energy-based Models" accepted to the ICML 2021 Workshop on Uncertainty & Robus…☆20Updated 3 years ago
- [NeurIPS 2020 Spotlight Oral] "Training Stronger Baselines for Learning to Optimize", Tianlong Chen*, Weiyi Zhang*, Jingyang Zhou, Shiyu …☆26Updated 3 years ago
- ☆61Updated 2 years ago
- [NeurIPS 2023] The PyTorch Implementation of Scheduled (Stable) Weight Decay.☆59Updated last year
- Incorporating Neuro-Inspired Adaptability for Continual Learning in Artificial Intelligence☆21Updated last year
- Denoising Masked Autoencoders Help Robust Classification.☆60Updated last year
- Codes for CyGen, the novel generative modeling framework proposed in "On the Generative Utility of Cyclic Conditionals" (NeurIPS-21)☆45Updated 2 years ago
- Tutorial on Generative Modeling: Interacting with Deep Generative Models for Content Creation☆20Updated 4 years ago
- PyTorch and Torch implementation for our accepted CVPR 2020 paper (Oral): Controllable Orthogonalization in Training DNNs☆24Updated 4 years ago
- This repo is for our paper: Normalization Techniques in Training DNNs: Methodology, Analysis and Application☆84Updated 3 years ago
- [ICLR '21] Interpretable Neural Architecture Search using Bayesian Optimisation with Weisfiler-Lehman Kernel (NAS-BOWL)☆24Updated 3 years ago
- Official code for Generative Marginalization Models [ICML 2024] [SPGIM 2023 Workshop Oral]☆22Updated 6 months ago
- [ICLR'23 Spotlight] gDDIM: analyze and accelerate general diffusion models, isotropic and non-isotropic☆49Updated last year
- Interpolation between Residual and Non-Residual Networks, ICML 2020. https://arxiv.org/abs/2006.05749☆26Updated 4 years ago
- [ICLR 2022] "Anti-Oversmoothing in Deep Vision Transformers via the Fourier Domain Analysis: From Theory to Practice" by Peihao Wang, Wen…☆79Updated last year
- Official code for the paper "Image generation with shortest path diffusion" accepted at ICML 2023.☆22Updated last year
- This project is the Torch implementation of our accepted CVPR 2019 paper, Iterative Normalization: Beyond Standardization towards Effic…☆24Updated 4 years ago
- Repository for my convex optimization course.☆52Updated 4 years ago
- [ICLR 2022] code for "Towards building a group-based unsupervised representation disentanglement framework"☆15Updated 2 years ago
- ☆11Updated last year
- WeightNet: Revisiting the Design Space of Weight Networks☆19Updated 4 years ago
- ☆17Updated 2 years ago
- Code release for NeurIPS 2020 paper "Stochastic Normalization"☆23Updated 2 years ago
- Implementation for <Regularizing Neural Networks via Minimizing Hyperspherical Energy> in CVPR'20.☆23Updated 4 years ago
- Official Codes☆18Updated last year
- [ICLR 2024] Official code for the paper 'Elucidating the Exposure Bias in Diffusion Models'☆25Updated 9 months ago
- Official PyTorch implementation for "Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations"☆35Updated 9 months ago