6821 Open source projects that are alternatives of or similar to Deep Learning Notes

CNN image classifier implemented in Keras Notebook 🖼️.

Build Graph Nets in Tensorflow

A collection of notebooks for Natural Language Processing from NLP Town

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。

SincNet is a neural architecture for efficiently processing raw audio samples.

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

repo with challenge material for riceteacatpanda (2020)

🎨 Artistic neural style transfer with tweaks (pytorch).

A powerful and intuitive WYSIWYG interface that allows anyone to create Machine Learning models!

Udacity Self-Driving Car Engineer Nanodegree. Project: Build a Traffic Sign Recognition Classifier

Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning

Computations and statistics on manifolds with geometric structures.

🛠 All-in-one web-based IDE specialized for machine learning and data science.

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

Computer code collated for use with Artificial Intelligence Engines book by JV Stone

This repository stores the files used for my summer internship's work on "teacher-student learning", an experimental method for training deep neural networks using a trained teacher model.

Finding the genre of a song with Deep Learning

TensorHub is a library built on top of TensorFlow 2.0 to provide simple, modular and repeatable abstractions to accelerate deep learning research.

Best Practices, code samples, and documentation for Computer Vision.

A deep learning based gaze estimation framework implemented with PyTorch

MemeGen is a web application where the user gives an image as input and our tool generates a meme at one click for the user.

Official Repsoitory for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]

Vehicle detection using machine learning and computer vision techniques for Udacity's Self-Driving Car Engineer Nanodegree.

Some notebooks

List of AI Residency & Research programs, Ph.D Fellowships, Research Internships

Code for the Lovász-Softmax loss (CVPR 2018)

Autodifferentiation package in Rust.

Collection of Artificial Intelligence projects.

Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

Continual Learning tutorials and demo running on Google Colaboratory.

Koç University deep learning framework.

TensorFlow-based neural network library

Data science and Machine Learning GUI programs/ desktop apps with PySimpleGUI package

brief introduction to Python for neural networks

Best Practices on Recommendation Systems

Fast and Easy Infinite Neural Networks in Python

Tutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal

Implementing YOLO using ResNet as the feature extraction network

All my experiments with AI and ML

Research on Texas Hold'em AI

Implementation of simple autoencoders networks with Keras

IPython Notebook for training a word-level Convolutional Neural Network model for sentiment classification task on Yelp-Challenge-2016 review dataset.

Machine Learning for High Energy Physics.

A tool for automatic phoneme transcription

NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.

Using A.I. and computer vision to build a virtual personal fitness trainer. (Most Startup-Viable Hack - HackNYU2018)

Time Series Forecasting Best Practices & Examples

Lacmus is a cross-platform application that helps to find people who are lost in the forest using computer vision and neural networks.

Avalanche: a End-to-End Library for Continual Learning.

Notebook for my medium article about how to use Dataset API in TensorFlow

👨🏽‍🏫You can learn about what data science is and why it's important in today's modern world. Are you interested in data science?🔋

[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow

🟣 Object detection of abstract shapes with neural networks

All projects and lecture notes of the Udacity Machine Learning Engineer Nanodegree.

All about attention in neural networks. Soft attention, attention maps, local and global attention and multi-head attention.

Deep Learning Specialization by Andrew Ng on Coursera.

This repositary is a combination of different resources lying scattered all over the internet. The reason for making such an repositary is to combine all the valuable resources in a sequential manner, so that it helps every beginners who are in a search of free and structured learning resource for Data Science. For Constant Updates Follow me in …

Books, papers and links to latest research in ML/AI

Data augmentation for NLP