Data Science Assignment, Decision Tree Credit Card Fraud Detection
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Updated
Dec 27, 2024 - Jupyter Notebook
Data Science Assignment, Decision Tree Credit Card Fraud Detection
In this we finetuned the Gemini model with our own medical NER dataset and used to recognize Name Entities
Text Classfication using BERT
This application aims to classify real life photos of a cube game using deep learning algorithms based on a fine-tuned ResNet50. The script is deployed and accessible through a REST-ful web service.
Official Implementation for the paper titled: "Counterfactual Disease Removal and Generation in Chest X-Rays Using Diffusion Models"
This toolkit provides scripts, examples, and utilities to facilitate the process of adapting OpenAI/Gemini to handle summarization/classification task.
The project aims to showcase the process of fine-tuning LLMs on industry-specific data. The provided notebook (FinetuneOpenSourceLLMs.ipynb) walks through the steps, utilizing Amazon's sales data (ConvAI_Data.csv).
A library that leverages pre-trained BERT models for multilingual text classification (French, German, English, Luxembourgish) with fine-tuning capabilities.
A wrapper library for LeapAI's APIs to make integrating AI into your .NET apps a breeze
Evaluating and iterating on MBARI's fine-tuned benthic object detector
A simple example of fine tuning Gemma 2 2B instruct using DoRA / LoRA
A LLM-based chatbot can solve math problems, give clearly explainable reasons and self-training by using reinforcement learning, Fine-tune Mistral v0.3 (7B) on MathQA-40K datasets, Use Unsloth framework for increasing performance model, speed training time, Apply Google Mind paper’s techniques for increasing accuracy and performance of model
Geometric Parametrization GmP-Inf-CLIP modification of: "Breaking the Memory Barrier: Near Infinite Batch Size Scaling for Contrastive Loss". A super memory-efficiency CLIP training scheme.
Train gemma on your codebase
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