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cnn_coffee_leaves_classifier

This CNN classifies coffee leaves into 5 different classes according to 4 diseases and 1 normal state.

cnn_image_classifier

CNN from scratch for image classification.

dpo

Direct Preference Optimization Implementation

embedding_littleprince

The Little Prince - Embeddings using OpenAI's text-embedding-ada model. This app allows you to speak with The Little Prince book.

fine_tuning_peft_lora_dziribert

Fine tuning of the DiziriBERT model using Peft and LoRA.

grocery_products_search

Search grocery products in natural language: A simple python script that takes a text column from a CSV file, creates an embedding local database, and then allows the user to search for products in natural language.

large_context_qa_evaluation

Evaluating large context of GPT-4 128K in middle of context Q&A retrieval.

llama3_single_gpu

mlbootcamp_jupyter_repo

This repo hosts the project that enables creation of jupyter notebooks in the mlbootcamp webbsite. Viene de jupyterlite/demo.

needle_in_haystack

Experiment to find a sentence in large context GPT-4 at varying context sizes and document depths.

openai_embeding_sample

This notebook shows an implementation of embedings using OpenAI components.

orderbot

OrderBot is a simple bot that helps you order pizza. It is based on the OpenAI 'completion' API method.

rlhf

Reinforcement Learning with Human Feedback

rlhf_reward_model

Reward model for RLHF

streamlit-replicate-img-app

Using Replicate to build Streamlit app for image generations!

student_responses_prediction

Aim: Accurately predict which answers the students will choose Part 1: To predict whether the student will get an answer right or wrong Part 2: To predict the exact option the student will choose in a test

tinymodel

tinymodels

toronto_immigration_raq

A Question/Answer application based on streamlit

transformer_step_by_step

This repository contains the notebooks of the series 'transformers by doing - leaving no rock unturned'

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.