sjhwang82 / AdvancedML
Reading list for the Advanced Machine Learning Course
☆368Updated 2 years ago
Alternatives and similar repositories for AdvancedML:
Users that are interested in AdvancedML are comparing it to the libraries listed below
- Paper bank for Self-Supervised Learning☆579Updated last year
- Complete solutions for exercises and MATLAB example codes for "Machine Learning: A Probabilistic Perspective" 1/e by K. Murphy☆236Updated 4 years ago
- ☆185Updated 2 years ago
- ☆122Updated 11 months ago
- ☆186Updated 2 months ago
- Information and Materials for the Deep Learning Course☆30Updated 2 years ago
- A LARS implementation in PyTorch☆338Updated 4 years ago
- Relevant papers in Continual Learning☆726Updated last year
- PyTorch Model Compression☆230Updated last year
- A classified list of meta learning papers based on realm.☆352Updated 2 years ago
- Crawl & visualize ICLR papers and reviews.☆445Updated 2 years ago
- Reinforcement Learning paper review study☆219Updated last year
- A collection of various deep learning architectures, models, and tips☆63Updated 4 years ago
- AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights (ICLR 2021)☆413Updated 4 years ago
- Yet Another Reinforcement Learning Tutorial☆72Updated last year
- Uncertainty in Deep Learning Papers☆35Updated 3 years ago
- ☆778Updated 10 months ago
- A simple and effective method for detecting out-of-distribution images in neural networks.☆535Updated 3 years ago
- List of papers on graph neural networks☆38Updated 4 years ago
- Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"☆418Updated 2 years ago
- "A survey of Transformer" paper study 👩🏻💻🧑🏻💻 KoreaUniv. DSBA Lab☆186Updated 3 years ago
- Unofficial Pytorch code for "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence" in NeurIPS'20. This repo co…☆190Updated 3 years ago
- Approximating neural network loss landscapes in low-dimensional parameter subspaces for PyTorch☆313Updated last year
- Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning, ICLR 2020☆235Updated 2 years ago
- Mode Connectivity and Fast Geometric Ensembles in PyTorch☆267Updated 2 years ago
- Implementation for the paper "Adversarial Continual Learning" in PyTorch.☆255Updated last year
- A list of papers, blogs, datasets and software in the field of lifelong/continual machine learning☆288Updated 3 years ago
- Official Pytorch implementation of ReBias (Learning De-biased Representations with Biased Representations), ICML 2020☆173Updated 5 months ago
- Evaluate three types of task shifting with popular continual learning algorithms.☆517Updated 3 years ago