7523 Open source projects that are alternatives of or similar to Deeptoxic

A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.

Code For Medium Article: "How To Create Natural Language Semantic Search for Arbitrary Objects With Deep Learning"

Natural Language Processing Tutorial for MindSpore Users

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

Allstate Kaggle Competition ML Capstone Project

Important paper implementations for Question Answering using PyTorch

Natural Language Processing Tutorial for Deep Learning Researchers

Sample notebooks for Kaggle competitions

NLP and Text Generation Experiments in TensorFlow 2.x / 1.x

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

A Tensorflow implementation of a Variational Autoencoder for the deep learning course at the University of Southern California (USC).

📚 机器学习基石和机器学习技法作业

Kaggle Kernel for House Prices competition https://www.kaggle.com/massquantity/all-you-need-is-pca-lb-0-11421-top-4

kaggle Dog Breed Identification

ARCHIVED: Contains historical course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ Tensorflow" #CADL

1st place solution

This is a jupyter practical tutorial. Welcome to edit together!

MicaSense RedEdge and Altum image processing tutorials

Python implementation of TextRank for phrase extraction and summarization of text documents

Machine learning with scikit-learn tutorial at PyData Chicago 2016

Comparison tools

Data augmentation for NLP

A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding).

Anomaly detection tutorial on univariate time series with an auto-encoder

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

Papers and Book to look at when starting NLP 📚

A curated list of awesome embedding models tutorials, projects and communities.

Materials for deep NLP course

Learning Vis Tools: Tutorial materials for Data Visualization course at HKUST

Kaggle Data Science Bowl 2018

General Assembly's 2015 Data Science course in Washington, DC

Credit card fraud detection through logistic regression, k-means, and deep learning.

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

Jupyter notebook and datasets from the pandas Q&A video series

The repository provides usefull python scripts for ML and data analysis

Machine Learning University: Accelerated Natural Language Processing Class

A collection of Jupyter notebooks showing how to use the Qiskit SDK

1st Place Solution for CrowdFlower Product Search Results Relevance Competition on Kaggle.

An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

Set of scripts and data for reproducing dog breed classification model training, analysis, and inference.

Tutorial Sessions for SciPy Con 2019

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

Scenarios, tutorials and demos for Autonomous Driving

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

How to build RNNs and LSTMs from scratch with NumPy.

This is a comprehensive ML techniques with python: Define the Problem- Specify Inputs & Outputs- Data Collection- Exploratory data analysis -Data Preprocessing- Model Design- Training- Evaluation

image processing codes to understand algorithm

A short tutorial on Elmo training (Pre trained, Training on new data, Incremental training)

INTERSPEECH 2019 Tutorial Materials

MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification

This repository provides everything you need to get started with Python for (social science) research.

🟣 Object detection of abstract shapes with neural networks

Amacımız Türkçe NLP literatüründeki birçok farklı sorunu bir arada çözebilen, eşsiz yaklaşımlar öne süren ve literatürdeki çalışmaların eksiklerini gideren open source bir yazım destekleyicisi/denetleyicisi oluşturmak. Kullanıcıların yazdıkları metinlerdeki yazım yanlışlarını derin öğrenme yaklaşımıyla çözüp aynı zamanda metinlerde anlamsal analizi de gerçekleştirerek bu bağlamda ortaya çıkan yanlışları da fark edip düzeltebilmek.

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

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

A news recommendation system tailored for user communities

Combining Psi4 and Numpy for education and development.

Web scrapping and related analytics using Python tools