Generalizations for Rashomon sets:Beyond notions of variable importance, we also generalize our finite sample results for MCR to describe arbitrary characteriza- tions of models in a populationE-Rashomon set. As we discuss in concurrent work (Coker et al., 2018), this g...
insert_drive_file date fruit practice with all models.ipynb Summary arrow_right folder 1 file lightbulb See what others are saying about this dataset What have you used this dataset for? Learning 0Research 0Application 0LLM Fine-Tuning 0 How would you describe this dataset? Well-documented 0Wel...
Intermediate Machine Learning Projects These intermediate machine learning projects focus on data processing and training models for structured and unstructured datasets. Learn to clean, process, and augment the dataset using various statistical tools. 6. Reveal Categories Found in Data The Reveal Categorie...
models com.azure.ai.documenttranslator com.azure.data.schemaregistry.avro com.azure.iot.deviceupdate com.azure.security.keyvault.keys.cryptography com.azure.security.keyvault.keys com.azure.security.keyvault.keys.models com.azure.security.keyvault.keys.cryptography.models com.azure.monitor.opentelemetry...
An extensible, convenient, and efficient toolbox for finetuning large machine learning models, designed to be user-friendly, speedy and reliable, and accessible to the entire community. Latest News More news... [2023-08-02] SupportLlama2,ChatGLM2, andBaichuanmodels. ...
MachineLearning Azure.ResourceManager.MachineLearning.Models Azure.ResourceManager.MachineLearning.Models AccessKeyAuthTypeWorkspaceConnectionProperties AmlCompute AmlComputeNodeInformation AmlComputeProperties AmlComputeScaleSettings AmlToken AmlTokenComputeIdentity ApiKeyAuthWorkspaceConnecti...
LLM CTG Saibo-creator/Awesome-LLM-Constrained-Decoding: A curated list of papers related to constrained decoding of LLM, along with their relevant code and resources. Layout 重点关注MicroSoft。 LLaVA-VL/LLaVA-Interactive-Demo: LLaVA-Interactive-Demo ...
Imagine you’re exposing a specialized sort routine to operate in-place on data in memory. You’d likely expose a method that takes an array and provide an implementation that operates over that T[]. That’s great if your method’s caller has an array and wants the whole array sorted, ...
For people interested in the generative models For devs For non-dev advanced users For end-users For haters About github.com/deepfakes What is this repo? Why this repo? Why is it named 'deepfakes' if it is not /u/deepfakes? What if /u/deepfakes feels bad about that?
Neural NetworksandDeep Learning, which are at the core of modern AI. We will illustrate the concepts behind these important topics using code in two of the most popular frameworks -TensorFlowandPyTorch. Neural Architecturesfor working with images and text. We will cover recent models but may be...