clear-nus / CS5340-notebooksLinks
Notebooks for CS5340: Uncertainty Modeling in AI at NUS
β52Updated 7 months ago
Alternatives and similar repositories for CS5340-notebooks
Users that are interested in CS5340-notebooks are comparing it to the libraries listed below
Sorting:
- π Stanford CS 228 - Probabilistic Graphical Modelsβ122Updated 6 years ago
- A curated list of awesome human-centered AI resources.β47Updated 3 years ago
- β233Updated 2 years ago
- β238Updated last year
- A curated paper list on neural symbolic and probabilistic logic.β128Updated 2 years ago
- β31Updated 3 years ago
- Extensive acceptance rates and information of main AI conferencesβ165Updated last year
- The newest reading list for representation learningβ116Updated 4 years ago
- Fine-tuning large language models with huggingface transformers and deepspeedβ31Updated last year
- β38Updated 4 months ago
- Stanford CS234 : Reinforcement Learningβ158Updated 5 years ago
- Offical code of the paper Large Language Models Are Implicitly Topic Models: Explaining and Finding Good Demonstrations for In-Context Leβ¦β75Updated last year
- Collecting research materials on EBM/EBL (Energy Based Models, Energy Based Learning)β335Updated last month
- Crawl & Visualize ICLR 2023 Data from OpenReviewβ84Updated 2 years ago
- Crawl & visualize ICLR papers and reviewsβ110Updated 2 years ago
- β67Updated 2 years ago
- This repository holds code and other relevant files for the NeurIPS 2022 tutorial: Foundational Robustness of Foundation Models.β72Updated 2 years ago
- Framework code with wandb, checkpointing, logging, configs, experimental protocols. Useful for fine-tuning models or training from scratcβ¦β152Updated 2 years ago
- β98Updated 3 years ago
- Experiments and code to generate the GINC small-scale in-context learning dataset from "An Explanation for In-context Learning as Impliciβ¦β108Updated last year
- https://cs330.stanford.edu/β62Updated 2 years ago
- Code for Language-Interfaced FineTuning for Non-Language Machine Learning Tasks.β130Updated 9 months ago
- Auto get diffusion nlp papers in Axriv. More papers Information can be found in another repository "Diffusion-LM-Papers".β173Updated last week
- Berkeley CS182/282A Designing, Visualizing and Understanding Deep Neural Networksβ85Updated 2 years ago
- Code repository of the paper "CITRIS: Causal Identifiability from Temporal Intervened Sequences" and "iCITRIS: Causal Representation Learβ¦β53Updated 2 years ago
- π¦ Stanford CS236 : Deep Generative Modelsβ146Updated 6 years ago
- Code for the paper "Causal Transformer for Estimating Counterfactual Outcomes"β155Updated last year
- Simple illustrative examples for energy-based models in PyTorchβ66Updated 5 years ago
- [NAACL 25 main] Awesome LLM Causal Reasoning is a collection of LLM-based casual reasoning works, including papers, codes and datasets.β75Updated 6 months ago
- Code accompanying the ICML'24 paper "Feature Contamination: Neural Networks Learn Uncorrelated Features and Fail to Generalize"β23Updated 6 months ago