tannistha maitiAutomatic Mapping Between Complex Data Fields by Fine-Tuning LLaMA-3Unsloth is a tool designed to speed up the fine-tuning of large language models (LLMs) like Llama, Mistral, and Phi by optimizing memory…6d ago
Salvatore RaieliinLevel Up CodingTabula Rasa: not enough data? Generate them!How you can apply generative AI to tabular dataFeb 145
hengtao tantaiUse weighted loss function to solve imbalanced data classification problemsImbalanced datasets are a common problem in classification tasks, where number of instances in one class is significantly smaller than…Feb 27, 20232Feb 27, 20232
Manuel Morales DiazOptimization Techniques in Machine Learning: A Simple GuideWhen training machine learning models, using the right optimization techniques can drastically improve performance. In this blog post…5d ago5d ago
Vedant JumleMamba: SSM, Theory, and Implementation in Keras and TensorFlowUnderstanding how SSMs and Mamba work, along with how to get started with implementing it in Keras and TensorFlow.Mar 171Mar 171
tannistha maitiAutomatic Mapping Between Complex Data Fields by Fine-Tuning LLaMA-3Unsloth is a tool designed to speed up the fine-tuning of large language models (LLMs) like Llama, Mistral, and Phi by optimizing memory…6d ago
Salvatore RaieliinLevel Up CodingTabula Rasa: not enough data? Generate them!How you can apply generative AI to tabular dataFeb 145
hengtao tantaiUse weighted loss function to solve imbalanced data classification problemsImbalanced datasets are a common problem in classification tasks, where number of instances in one class is significantly smaller than…Feb 27, 20232
Manuel Morales DiazOptimization Techniques in Machine Learning: A Simple GuideWhen training machine learning models, using the right optimization techniques can drastically improve performance. In this blog post…5d ago
Vedant JumleMamba: SSM, Theory, and Implementation in Keras and TensorFlowUnderstanding how SSMs and Mamba work, along with how to get started with implementing it in Keras and TensorFlow.Mar 171
Rina MondalLet’s Understand Transformer — Step by StepA Transformer model is comprised of two main components: the encoder and the decoder. In the Research paper published in 2017 “Attention is…6d ago
Soubhik KhankaryMultivariate Time Series Forecasting using FBProphetHello Everyone, Hope you all are doing good. Today I have come up with a post which would help us to do multivariate variable time series…Jan 30, 20226
Matheus PessoaDeep Learning: Logistic RegressionLogistic regression is a type of regression model used to predict the outcome of a binary event (yes or no / 1 or 0). For example, it can…Sep 12
