#Google-colab
Showing 44 of 44 repositories tagged #google-colab, ranked by stars
A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM 3, and Qwen3-VL.
Run Mixtral-8x7B models in Colab or consumer desktops
This repository helps you learn Python and Machine Learning from scratch.
Try out deep learning models online on Google Colab
Machine Learning in Asset Management (by @firmai)
Collection of google colaboratory notebooks for fast and easy experiments
Google Colaboratory Notebooks and Repositories (by @firmai)
Connect to Google Colab using SSH
AI-related tutorials. Access any of them for free โ https://towardsai.net/editorial
This repository consists of all my Machine Learning Projects.
Train a state-of-the-art yolov3 object detector from scratch!
Cursos completos de IA dictados por Humai
Multiple implementations for abstractive text summurization , using google colab
UI tool for fine-tuning and testing your own LoRA models base on LLaMA, GPT-J and more. One-click run on Google Colab. + A Gradio ChatGPT-like Chat UI to demonstrate your language models.
Deep learning codes and projects using Python
TF2 Deep FloorPlan Recognition using a Multi-task Network with Room-boundary-Guided Attention. Enable tensorboard, quantization, flask, tflite, docker, github actions and google colab.
Google Colaboratory background/task executioner & controller.
An alternative Minecolab project. --------- Original: https://github.com/thecoder-001/MineColab ----------------------- Wiki: https://minecolabimproved-wiki-gg.translate.goog/es/wiki/MineColab_Improved_Wiki?_x_tr_sl=es&_x_tr_tl=en&_x_tr_hl=es&_x_tr_pto=wapp
A simple NLP library allows profiling datasets with one or more text columns. When given a dataset and a column name containing text data, NLP Profiler will return either high-level insights or low-level/granular statistical information about the text in that column.
CNN image classifier implemented in Keras Notebook ๐ผ๏ธ.
โจ 1-Click Free GPU on VS Code with Google Colab
This project is about predicting stock prices with more accuracy using LSTM algorithm. For this project we have fetched real-time data from yfinance library.
Awesome list (courses, books, videos etc.) and implementation of Machine Learning Algorithms
Repo containing scripts for videos featured on Adrian Dolinay's YouTube channel.
๐ ๐๐๐๐๐๐๐๐๐๐ PyTorch implementation of "End-to-End Learning for Self-Driving Cars" (arXiv:1604.07316) with Udacity's Simulator
A Super Enhanced Telegram bot which can download torrents, mega, google drive links, telegram file, direct links and all yt-dlp sites, upload to google drive, telegram cloud, rclone clouds or ddl servers. Made with Pyrogram in Python by KPSML-X Devs.
DATA-SCIENCE-BOWL-2018 Find the nuclei in divergent images to advance medical discovery
Everything you need in order to get YOLOv3 up and running in the cloud. Learn to train your custom YOLOv3 object detector in the cloud for free!
Plant disease detection and Solution using Image Classification
Udacity Full Stack Web Developer Nanodegree program (FSND) course materials
Interferometric Synthetic Aperture Radar (InSAR) processing ecosystem for Python
Simple RAG tutorials that can be run locally or using Google Colab (only Pro version).
๐ง A production-grade, agentic RAG platform for portfolio intelligence, combining LangChain, Chroma/FAISS, Hugging Face embeddings, and Ollama with dynamic entity extraction, backend API tool-chaining, and a real-time interactive assistant across deploy-ready frontend, backend, and infrastructure stacks.
This allows you to utilize Google Colab (or other notebooks) to run wan2.2 image to video
Deep learning methods for feature selection in gene expression autism data.
Import packages in Python, even if they aren't installed!
A very useful collection of Jupyter Notebooks, which aims to introduce the Python programming language.
Learn how to use Python to load, adjust, and change data from both Google Sheets and Google Drive using Google Colab.
Unofficial instructions for changing Python kernel version on Google Colab.
๐๐ถ๐ฟ๐ฒ ๐๐ฒ๐๐ฒ๐ฐ๐๐ถ๐ผ๐ป๐ฅusing Machine Learning Algorithm with python๐, GoogleColab & database taken from ๐จ๐๐ ๐ ๐ฎ๐ฐ๐ต๐ถ๐ป๐ฒ ๐๐ฒ๐ฎ๐ฟ๐ป๐ถ๐ป๐ด ๐ฅ๐ฒ๐ฝ๐ผ๐๐ถ๐๐ผ๐ฟ๐
Unofficial instructions for running headless Isaac Sim on Google Colab.
Create a model to predict the likelihood of a disease based on medical data (e.g., symptoms, patient history). Use datesets with labeled medical records and apply classification algorithms.
Acervo de notebooks referente aos exercรญcios do curso Python para Anรกlise de Dados realizado pela EBAC como parte do curso Profissรฃo: Cientista de Dados.