All Projects → d2l-ai → Notebooks

d2l-ai / Notebooks

Projects that are alternatives of or similar to Notebooks

Hmms
Continuous-time Hidden Markov Model
Stars: ✭ 62 (-3.12%)
Mutual labels:  jupyter-notebook
Learners Space
This repository contains all the content for these courses to be covered in Learner's Space -
Stars: ✭ 64 (+0%)
Mutual labels:  jupyter-notebook
Processamento Digital De Sinais Financeiros
Estabelecer competências em técnicas quantitativas aplicadas ao mercado de renda variável, por meio da aplicação dos métodos de processamento digital de séries temporais.
Stars: ✭ 64 (+0%)
Mutual labels:  jupyter-notebook
Deep3dpose
Stars: ✭ 63 (-1.56%)
Mutual labels:  jupyter-notebook
Recsyspuc 2020
Material del curso de Sistemas Recomendadores IIC3633 PUC Chile
Stars: ✭ 64 (+0%)
Mutual labels:  jupyter-notebook
Icpr2020dfdc
Video Face Manipulation Detection Through Ensemble of CNNs
Stars: ✭ 64 (+0%)
Mutual labels:  jupyter-notebook
How to make a tensorflow image classifier live
Stars: ✭ 63 (-1.56%)
Mutual labels:  jupyter-notebook
Bootcamp2019
Repository of syllabi, lecture notes, Jupyter notebooks, code, and problem sets for OSE Lab Boot Camp 2019
Stars: ✭ 64 (+0%)
Mutual labels:  jupyter-notebook
Sudo rm rf
Code for SuDoRm-Rf networks for efficient audio source separation. SuDoRm-Rf stands for SUccessive DOwnsampling and Resampling of Multi-Resolution Features which enables a more efficient way of separating sources from mixtures.
Stars: ✭ 64 (+0%)
Mutual labels:  jupyter-notebook
Kaggle Competitions
Stars: ✭ 64 (+0%)
Mutual labels:  jupyter-notebook
Pysparkgeoanalysis
🌐 Interactive Workshop on GeoAnalysis using PySpark
Stars: ✭ 63 (-1.56%)
Mutual labels:  jupyter-notebook
Deeplearning Nlp Models
A small, interpretable codebase containing the re-implementation of a few "deep" NLP models in PyTorch. Colab notebooks to run with GPUs. Models: word2vec, CNNs, transformer, gpt.
Stars: ✭ 64 (+0%)
Mutual labels:  jupyter-notebook
Xcos
Stars: ✭ 64 (+0%)
Mutual labels:  jupyter-notebook
Codingworkshops
Programming challenges for python, webdev, data science Python Project Night
Stars: ✭ 63 (-1.56%)
Mutual labels:  jupyter-notebook
Efficientnet Gradcam Visualization
EfficientNet-GradCam Visualization
Stars: ✭ 64 (+0%)
Mutual labels:  jupyter-notebook
Tutorials 2017
Geophysical Tutorials column for 2017
Stars: ✭ 63 (-1.56%)
Mutual labels:  jupyter-notebook
Decisiveml
Machine learning end-to-end research and trade execution
Stars: ✭ 63 (-1.56%)
Mutual labels:  jupyter-notebook
Vehicle Trajectory Prediction On Ngsim
Stars: ✭ 63 (-1.56%)
Mutual labels:  jupyter-notebook
Pico
Object Detection and Analysis Made easy using Raspberry Pi, Apache Kafka, AWS Rekognition & Docker
Stars: ✭ 63 (-1.56%)
Mutual labels:  jupyter-notebook
Iba Paper Code
Code for the Paper "Restricting the Flow: Information Bottlenecks for Attribution"
Stars: ✭ 64 (+0%)
Mutual labels:  jupyter-notebook

Notebooks

This repo is for hosting .ipynb notebooks in d2l-en. These notebooks are modified to run on cloud, such as Amazon Sagemaker and Google Colab. For example, you can allocate a free GPU instance and execute the notebook on Google colab by clicking the following link:

https://colab.research.google.com/github/d2l-ai/notebooks/blob/master/chapter_convolutional-neural-networks/lenet.ipynb

Note: please don't modify the contents in this repo except for README.md, which are automatically generated.

Also this feature is still experimental, there are known bugs.

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].