colab-notebook

Try out deep learning models online on Google Colab

Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow

🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo

《计算机视觉实战演练：算法与应用》中文电子书、源码、读者交流社区（持续更新中 ...）

Deep NLP Course

Pytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes

PyTorch-based modular, configuration-driven framework for knowledge distillation. 🏆19 methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.

Simple notebook to stream torrent files to Google Drive using Google Colab.

An intuitive library to extract features from time series

Deep Learning Autonomous Car based on Raspberry Pi, SunFounder PiCar-V Kit, TensorFlow, and Google's EdgeTPU Co-Processor

Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019

Practical notebooks for Khipu 2019, held in Universidad de la República in Montevideo.

대학 강의를 위한 강의자료 및 소스코드 저장소 Python Lecture slide & code for University Student.

Simple notebook to stream torrent files to Google Drive using Google Colab and python3.

RetinaFace (Single-stage Dense Face Localisation in the Wild, 2019) implemented (ResNet50, MobileNetV2 trained on single GPU) in Tensorflow 2.0+. This is an unofficial implementation. With Colab.

a bot that generates realistic replies using a combination of pretrained GPT-2 and BERT models

Projecting images to latent space with StyleGAN2.

ArcFace unofficial Implemented in Tensorflow 2.0+ (ResNet50, MobileNetV2). "ArcFace: Additive Angular Margin Loss for Deep Face Recognition" Published in CVPR 2019. With Colab.

Google2Csv a simple google scraper that saves the results on a csv/xlsx/jsonl file

How to train an object detection model easy for free

A general, modular, and programmable architecture search framework

StyleGAN2 - Colab Notebook containing code for training + visualization + projection

Project tracking of the "Mobile ML Working Group", for the End-to-End TensorFlow Lite tutorials.

TPU ile Yapay Sinir Ağlarınızı Çok Daha Hızlı Eğitin

✨Experience better workflow with google colab, local jupyter notebooks and git

ESRGAN (Enhanced Super-Resolution Generative Adversarial Networks, published in ECCV 2018) implemented in Tensorflow 2.0+. This is an unofficial implementation. With Colab.

Run Minecraft Server on Google Colab.

AI Video Processing/Upscaling With VapourSynth in Google Colab

Minimal implementation of adaptive gradient clipping (https://arxiv.org/abs/2102.06171) in TensorFlow 2.