A Repo to store the Google Colaboratory Notebooks that I have created and shared

A set of jupyter notebooks

notebooks to finetune `bert-small-amharic`, `bert-mini-amharic`, and `xlm-roberta-base` models using an Amharic text classification dataset and the transformers library

Implementation for the different ML tasks on Kaggle platform with GPUs.

VGG | Resnet | Alexnet | Squeezenet | Densenet | Inception

Notebooks of pre trained models using the HAM10000 dataset

jupyter notebooks to fine tune whisper models on Vietnamese using Colab and/or Kaggle and/or AWS EC2

This repository contains a notebook for object detection with the help of fine tuning of a (TF2 friendly) RetinaNet architecture on very few examples of a novel class after initializing from a pre-trained COCO checkpoint. Training runs in eager mode.

A tutorial that guides users through the process of fine-tuning a stable diffusion model using HuggingFace's diffusers library. The tutorial includes advice on suitable hardware requirements, data preparation using the BLIP Flowers Dataset and a Python notebook, and detailed instructions for fine-tuning the model.

The repository includes Jupyter notebooks with deep learning examples in Python.

Stable diffusion One-click fine tuning colab notebook (A100)

Fine-Tune Your Own Llama 2 Model LOCALLY in a Colab Notebook

Dive into Diverse Topics with Hands-on Python Notebooks

The notebook shows how deep learning tools (TensorFlow/Keras and PyTorch ) work in practice.

This Notebook contains the code for Fine tuning OpenAI GPT-3.5-Turbo API to specialize on answering the algerians BAC students questions within the Algeria Bac Context !!!

Colab notebook for finetuning Microsoft's Phi-2-3B LLM for solving mathematical word problems using QLoRA

This repo gathers the different notebooks created in the context of Micro Club's 1st wave of internal trainings

Pre-Training and Fine-Tuning transformer models using PyTorch and the Hugging Face Transformers library. Whether you're delving into pre-training with custom datasets or fine-tuning for specific classification tasks, these notebooks offer explanations and code for implementation.

Can be used as-is for better slashed zeros recognition (especially with the Consolas font). This Repository includes a Jupyter notebook with instructions to train/finetune a Tesseract OCR model.