7065 Open source projects that are alternatives of or similar to Deeplearningfornlpinpytorch

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

My Attempt(s) In The World Of ML/DL....

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

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

Tutorial for End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF

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

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.

A workshop on data privacy methods for data scientists.

Sentiment Analysis on the First Republic Party debate in 2016 based on Python,NLTK and ML.

Application of machine learning to the Coinbase (GDAX) orderbook

Source material for Python Like You Mean it

Numerical & Scientific Computing with Python Tutorial

A custom MARL (multi-agent reinforcement learning) environment where multiple agents trade against one another (self-play) in a zero-sum continuous double auction. Ray [RLlib] is used for training.

Implementation of "Generating Sequences With Recurrent Neural Networks" https://arxiv.org/abs/1308.0850

How to train an object detection model with mmdetection

tutorials made for biologists to learn deep learning

Natural Language Processing Tutorial for Deep Learning Researchers

keras를 이용한 딥러닝 기초 학습

100+ python programming exercise problem discussed ,explained and solved in different ways

Deep Learning From Scratch

Implementation of the paper - Generative Recurrent Networks for De Novo Drug Design.

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

Notebooks for the SciPy 2017 tutorial "The Jupyter Interactive Widget Ecosystem"

A Chinese translation of Jake Vanderplas' "Python Data Science Handbook". 《Python数据科学手册》在线Jupyter notebook中文翻译

All my experiments with AI and ML

The deeplearning algorithms implemented by tensorflow

RNN(SimpleRNN, LSTM, GRU) Tensorflow2.0 & Keras Notebooks (Workshop materials)

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

LSTM-CRF for NER with ConLL-2002 dataset

Learn to build a basic machine learning model from scratch with this repo and tutorial series.

A comprehensive guide for learning regular expressions using Python

Natural Language Processing Tutorial for MindSpore Users

AIOpen是一个按人工智能三要素（数据、算法、算力）进行AI开源项目分类的汇集项目，项目致力于跟踪目前人工智能（AI）的深度学习（DL）开源项目，并尽可能地罗列目前的开源项目，同时加入了一些曾经研究过的代码。通过这些开源项目，使初次接触AI的人们对人工智能（深度学习）有更清晰和更全面的了解。

Another attempt to use Deep-Learning in the financial markets

Allstate Kaggle Competition ML Capstone Project

Bitcoin price Prediction ( Time Series ) using LSTM Recurrent neural network

Sample notebooks for Kaggle competitions

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

TensorFlow Tutorials with YouTube Videos

Neural machine translator for English2German translation.

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

LSTM and GRU in PyTorch

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

Best Practices on Recommendation Systems

Tutorial teaching the basics of Keras and some deep learning concepts

Course materials and handouts for #100DaysOfCode in Python course

PyTorch tutorial for learners

Annotation of ECG signals using deep learning, tensorflow’ Keras

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

📚 机器学习基石和机器学习技法作业

Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games

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

A recurrent attention module consisting of an LSTM cell which can query its own past cell states by the means of windowed multi-head attention. The formulas are derived from the BN-LSTM and the Transformer Network. The LARNN cell with attention can be easily used inside a loop on the cell state, just like any other RNN. (LARNN)

keras attentional bi-LSTM-CRF for Joint NLU (slot-filling and intent detection) with ATIS

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

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

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

Implementation of abstractive summarization using LSTM in the encoder-decoder architecture with local attention.

Tutorials for learning OpenCV in Python from Scratch

Face masks are crucial in minimizing the propagation of Covid-19, and are highly recommended or even obligatory in many situations. In this project, we develop a pipeline to detect unmasked faces in images. This can, for example, be used to alert people that do not wear a mask when entering a building.