7085 Open source projects that are alternatives of or similar to Dab

Learn applied deep learning from zero to deployment using TensorFlow 1.8+

A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.

An implementation of "mixup: Beyond Empirical Risk Minimization"

Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet

My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.

BertQA - Attention on Steroids

Implementation of Siamese Neural Networks built upon multihead attention mechanism for text semantic similarity task.

A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

This is Andrew NG Coursera Handwritten Notes.

[ECCV'2020] STTN: Learning Joint Spatial-Temporal Transformations for Video Inpainting

A day to day plan for this challenge (50 Days of Machine Learning) . Covers both theoretical and practical aspects

NeMo: a toolkit for conversational AI

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

Copy-paste augmentation for segmentation and detection tasks

High-quality Neural Networks for Computer Vision 😎

Archived - not answering issues

This repo contains my coursework, assignments, and Slides for Natural Language Processing Specialization by deeplearning.ai on Coursera

Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".

All course materials for the Zero to Mastery Deep Learning with TensorFlow course.

Natural Language Processing with TensorFlow, published by Packt

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.

A generic Mixture Density Networks (MDN) implementation for distribution and uncertainty estimation by using Keras (TensorFlow)

Code and files to go along with CS329s machine learning model deployment tutorial.

Esper instance for TV news analysis

labs guide for completing qwiklabs challenge

Trial on kaggle imagenet object localization by yolo v3 in google cloud

A simple TensorFlow implementation of the Transformer

KitanaQA: Adversarial training and data augmentation for neural question-answering models

Hiding Images within other images using Deep Learning

[AAAI 2020] Towards Ghost-free Shadow Removal via Dual Hierarchical Aggregation Network and Shadow Matting GAN

StarNet

A beginner-friendly project to help you in open-source contributions. Data Structures & Algorithms in various programming languages Please leave a star ⭐ to support this project! ✨

Deep Learning based Automatic Speech Recognition with attention for the Nvidia Jetson.

Important paper implementations for Question Answering using PyTorch

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

Code For Medium Article "How To Create Data Products That Are Magical Using Sequence-to-Sequence Models"

This is a tutorial for PyTorch Geometric on the YooChoose dataset

Toolkit to obtain and preprocess german corpora, train models using word2vec (gensim) and evaluate them with generated testsets

Learn OpenCV : C++ and Python Examples

Utilities for preprocessing text for deep learning with Keras

Melusine is a high-level library for emails classification and feature extraction "dédiée aux courriels français".

CardIO is a library for data science research of heart signals

Food detection and recommendation with deep learning

A PyTorch implementation of OpenAI's REPTILE algorithm

Streaming over lightweight data transformations

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

Tool for visualizing attention in the Transformer model (BERT, GPT-2, Albert, XLNet, RoBERTa, CTRL, etc.)

A Tutorial for Serving Tensorflow Models using Kubernetes

Open-Source Toolkit for End-to-End Korean Automatic Speech Recognition leveraging PyTorch and Hydra.

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

Transformer implementation speciaized in speech recognition tasks using Pytorch.

Neutron: A pytorch based implementation of Transformer and its variants.

Implementation of Vaswani, Ashish, et al. "Attention is all you need." Advances in neural information processing systems. 2017.

RAD: Reinforcement Learning with Augmented Data

A PyTorch Implementation of "Attention Is All You Need"

Примеры для курса "Программирование глубоких нейронных сетей на Python"

DrQ: Data regularized Q

Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.

Open Source Specialized Computing Stack for Accelerating Deep Neural Networks.