Udacity Deep Learning Nanodegree
The course is contained knowledge that are useful to work on deep learning as an engineer. Simple neural networks & training, CNN, Autoencoders and feature extraction, Transfer learning, RNN, LSTM, NLP, Data augmentation, GANs, Hyperparameter tuning, Model deployment and serving are included in the course.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Flow Forecast | 1,759 | 3 months ago | 101 | gpl-3.0 | Python | |||||
| Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting). | ||||||||||
| Getting Things Done With Pytorch | 873 | 3 years ago | 13 | apache-2.0 | Jupyter Notebook | |||||
| Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT. | ||||||||||
| Video Classification | 498 | 3 years ago | 26 | Jupyter Notebook | ||||||
| Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101 | ||||||||||
| Accel Brain Code | 289 |  | 2 | 4 months ago | 12 | July 26, 2022 | 1 | gpl-2.0 | Python | |
| The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing. | ||||||||||
| Nlp De Cero A Cien | 135 | 2 years ago | 1 | Jupyter Notebook | ||||||
| Curso práctico: NLP de cero a cien 🤗 | ||||||||||
| Sluice Networks | 119 | 5 years ago | 2 | Python | ||||||
| Code for Sluice networks: Learning what to share between loosely related tasks | ||||||||||
| Transfer Learning Text Tf | 74 | 6 years ago | 1 | Python | ||||||
| Tensorflow implementation of Semi-supervised Sequence Learning (https://arxiv.org/abs/1511.01432) | ||||||||||
| Dl_notebooks | 42 | 4 years ago | Jupyter Notebook | |||||||
| This repo contains all the notebooks mentioned in blog. | ||||||||||
| Udacity Cvnd Projects | 34 | 6 years ago | Jupyter Notebook | |||||||
| My solutions to the projects assigned for the Udacity Computer Vision Nanodegree | ||||||||||
| Ntua Slp Wassa Iest2018 | 18 | 4 years ago | 1 | Python | ||||||
| Deep-learning Transfer Learning models of NTUA-SLP team submitted at the IEST of WASSA 2018 at EMNLP 2018. | ||||||||||
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