cleysonl Goto Github PK

autonomous-vehicle-using-a3c

AI controller for autonomous cars

ce888assignment

Final Assignment for Data Science and Decision Making

ce888labs

Data Science and Decision Making class

course22

d2l-pytorch

This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.

data-engineering-nanodegree

Udacity Data Engineering Nanodegree

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deepul

CS 294-158 Deep Unsupervised Learning (Berkeley University)

deploying-machine-learning-models

Code for the online course "Deployment of Machine Learning Models"

dissertation-final

Design and Implementation of an Embedded Fuzzy Multi-criteria Group Decision Making System for Wellbeing, Health and Security

dsbook

Code samples for the Effective Data Science Infrastructure book

examples

Example deep learning projects that use wandb's features.

fastai_cll

Personal projects for the fastai course

fastbook

The fastai book, published as Jupyter Notebooks

fsdl-text-recognizer-2021-labs

Complete deep learning project developed in Full Stack Deep Learning, Spring 2021

fsdl-text-recognizer-2022-labs

Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022

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.

hello-github-actions

iads2019

Institute for Analytics and Data Science 2019 Summer school - University of Essex

introtodeeplearning

Lab Materials for MIT 6.S191: Introduction to Deep Learning

llm-finetuning

Guide for fine-tuning Llama/Mistral/CodeLlama models and more

machine-learning-book

Code Repository for Machine Learning with PyTorch and Scikit-Learn

ml-powered-applications

Companion repository for the book Building Machine Learning Powered Applications

ml_bootcamp_cll

Notebooks from the ML Bootcamp organized by Google Developers Launchpad.

mlops-basics

nba-monte-carlo

Monte Carlo simulation of the NBA season, leveraging meltano, dbt, duckdb and superset

no-ops-machine-learning

A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.

pair-trading

Selection of a Pair Trading Portfolio based on Cointegration for Mexico's IPC 2006-2012

pandas_bootcamp

pytorch

Udemy Course: PyTorch for Deep Learning and Computer Vision