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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
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…Sep 15Sep 15
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TsumitWhy Learning Python is Important?In today’s fast-moving world, technology is at the heart of almost everything we do. From phones and websites to online shopping and social…1d 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
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…Sep 15
Vedant JumleinTowards Data ScienceMamba: 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
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…Sep 15
Saheed TijaniinTowards Data ScienceFederated Learning: A Step by Step Implementation in TensorflowUnderstanding Federated Learning through codeApr 10, 202017
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…Sep 14
