6244 Open source projects that are alternatives of or similar to Attention Networks For Classification

A cute multi-layer LSTM that can perform like a human 🎶

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Another attempt to use Deep-Learning in the financial markets

LSTM-CRF for NER with ConLL-2002 dataset

Neural machine translator for English2German translation.

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

Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0

Sentiment analysis on Amazon Review Dataset available at http://snap.stanford.edu/data/web-Amazon.html

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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。

Pytorch implementation of "Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling" (https://arxiv.org/abs/1609.01454)

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

Sequence prediction using recurrent neural networks(LSTM) with TensorFlow

Predict Cryptocurrency Price with Deep Learning

Python Quick Reference

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Simple tutorials for building neural networks with TensorFlow Eager mode.

Named Entity Recognition using multilayered bidirectional LSTM

Deep Learning (with PyTorch)

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The 3rd edition of course.fast.ai

Solutions to all quiz and all the programming assignments!!!

Tutorials and information on the Julia language for MIT numerical-computation courses.

Enabling journalists, citizen scientists, humanitarian workers and others to detect “patterns of interest” in satellite imagery.

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks

DeepLearning.ai课程学习Jupyter Notebook作业

A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.

code for deep learning courses

Introduction to generative adversarial networks, with code to accompany the O'Reilly tutorial on GANs

Localize your cat at home with BLE beacon, ESP32s, and Machine Learning

全栈数据工程师养成攻略

A collection of deep learning tutorials using Tensorflow and Python

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

Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)

Person Re-ranking (CVPR 2017)

Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code

🤖 Exercise answers to the problem sets from the 2017 machine learning course cs229 by Andrew Ng at Stanford

A PyTorch based library for all things neural differential equations

Labs and demos for courses for GCP Training (http://cloud.google.com/training).

Ways of doing Data Science Engineering and Machine Learning in R and Python

Working with and analyzing Wikipedia Data

Financial data reader

This is the code for "Make Money with Tensorflow 2.0" by Siraj Raval

Abuse of Google Colab for cracking hashes. 🐧

Jupyter notebooks for learning how to use SimpleITK

Computations and statistics on manifolds with geometric structures.

Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy. ICAIF 2020. Please star.

A couple of simple GANs in Keras

Simple XLNet implementation with Pytorch Wrapper

Silero Models: pre-trained STT models and benchmarks made embarrassingly simple

PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.

Code base for the Learning PySpark book (in preparation)

Notebooks for learning deep learning

Different Types of Stock Analysis in Python, R, Matlab, Excel, Power BI

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