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bmanobel's Projects

dlwithpytorch icon dlwithpytorch

Code to accompany my upcoming book "Deep learning with PyTorch Book " from Packt

ds3_mmdl icon ds3_mmdl

Repo for the multimodal deep learning class at the DS3 data science summer school

ebad icon ebad

Analisis Bayesiano de Datos

few-shot-leaf-segmentation icon few-shot-leaf-segmentation

Supporting information for "Few-Shot Learning Enables Population-Scale Analysis of Leaf Traits in Populus trichocarpa"

hands-on-natural-language-processing-with-python icon hands-on-natural-language-processing-with-python

This repository is for my students of Udemy. You can find all lecture codes along with mentioned files for reading in here. So, feel free to clone it and if you have any problem just raise a question.

handson-ml icon handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

handson-ml2 icon handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

hmmlearn icon hmmlearn

Hidden Markov Models in Python, with scikit-learn like API

indian-lawyergpt icon indian-lawyergpt

Fine-Tuning Falcon-7B with QLoRA is a pioneering initiative that leverages cutting-edge NLP techniques to create an advanced AI model with a profound understanding of the Indian legal context.

islr-python icon islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

keras-elmo icon keras-elmo

How to use ELMo embeddings in Keras with Tensorflow Hub

langchain icon langchain

This repository will show how Langchain๐Ÿฆœ๐Ÿ”— library can be used and integrated

llm-course icon llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

llm-twin-course icon llm-twin-course

๐Ÿค– ๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป for ๐—ณ๐—ฟ๐—ฒ๐—ฒ how to ๐—ฏ๐˜‚๐—ถ๐—น๐—ฑ an end-to-end ๐—ฝ๐—ฟ๐—ผ๐—ฑ๐˜‚๐—ฐ๐˜๐—ถ๐—ผ๐—ป-๐—ฟ๐—ฒ๐—ฎ๐—ฑ๐˜† ๐—Ÿ๐—Ÿ๐—  & ๐—ฅ๐—”๐—š ๐˜€๐˜†๐˜€๐˜๐—ฒ๐—บ using ๐—Ÿ๐—Ÿ๐— ๐—ข๐—ฝ๐˜€ best practices: ~ ๐˜ด๐˜ฐ๐˜ถ๐˜ณ๐˜ค๐˜ฆ ๐˜ค๐˜ฐ๐˜ฅ๐˜ฆ + 11 ๐˜ฉ๐˜ข๐˜ฏ๐˜ฅ๐˜ด-๐˜ฐ๐˜ฏ ๐˜ญ๐˜ฆ๐˜ด๐˜ด๐˜ฐ๐˜ฏ๐˜ด

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