Trained on 22.7M cells from 399 10x Genomics scRNA-seq studies. Uses Cell Ontology terms, only normal cells (cancer cells and cell lines excluded). Can be used for data integration, outperforms Harmony, scVI, scArches. Query cells can be matched to the full spectrum of cells, or a ...
[MIR-2023-Survey] A continuously updated paper list for multi-modal pre-trained big models - wangxiao5791509/MultiModal_BigModels_Survey
Hands-on labs will walk you through launching cloud GPU instances and running pre-trained models like Code Llama, Mistral, and stable diffusion. The highlight of the course is a guided project where you will fine-tune a model like LLaMA or Mistral on a dataset of your choice. You will ...
December 1, 2020: Notification of acceptance or rejection AAAI 2021 Pruning TransTailor: Pruning the Pre-Trained Model for Improved Transfer Learning Provable Benefits of Overparameterization in Model Compression: From Double Descent to Pruning Neural Networks Linearly Replaceable Filters for Deep Network ...
7426 BEYOND SIMPLE TEXT STYLE TRANSFER: UNVEILING COMPOUND TEXT STYLE TRANSFER WITH PROMPT-BASED PRE-TRAINED LANGUAGE MODELS 4769 Beyond the Limit of Weight-Sharing: Pioneering Space-Evolving NAS with Large Language Models 3954 BEYOND THE SNOWFALL: ENHANCING SNOWY DAY OBJECT DETECTION THROUGH PROGRESSIVE...
4. What was the finding of Ms Ross’ research project? A.Untrained bandicoots failed to identify cats. B.Training bandicoots prepared them to fight cats. C.Sleeping alone in the wild was dangerous. D.Bandicoots could be trained to avoid predators. ...
This Case Project is the final assignment of our MOOC. It is of an applied nature, and it asks you to answer practical questions by means of econometric methods. By doing the case, you will integrate various econometric methods and skills that were trained in our MOOC. ...
quickcheck - A Rust implementation of QuickCheck rust-fuzz/afl.rs - A Rust fuzzer, using AFL Transpiling BayesWitnesses/m2cgen - A CLI tool to transpile trained classic machine learning models into a native Rust code with zero dependencies. immunant/c2rust - C to Rust translator and cross ...
Structure-Guided Adversarial Training of Diffusion Models Revisiting Adversarial Training under Long-Tailed Distributions Pre-trained Model Guided Fine-Tuning for Zero-Shot Adversarial Robustness Defense without Forgetting: Continual Adversarial Defense with Anisotropic & Isotropic Pseudo Replay ...
quickcheck - A Rust implementation of QuickCheck rust-fuzz/afl.rs - A Rust fuzzer, using AFL Transpiling BayesWitnesses/m2cgen - A CLI tool to transpile trained classic machine learning models into a native Rust code with zero dependencies. immunant/c2rust - C to Rust translator and cross ...