7179 Open source projects that are alternatives of or similar to Aiopen

A course in reinforcement learning in the wild

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

List of papers, code and experiments using deep learning for time series forecasting

文本情感分析

Visualization Toolbox for Long Short Term Memory networks (LSTMs)

Predict Cryptocurrency Price with Deep Learning

Stock Price Prediction using Machine Learning Techniques

中文 Python 笔记

speaker diarization system using an LSTM

QA - Answer Selection (Rank candidate answers for a given question)

Keras tutorial for beginners (using TF backend)

GPU Javascript Library for Machine Learning

[2017知乎看山杯 多标签 文本分类] ye组(第六名) 解题方案

Neural Turing Machines (NTM) - PyTorch Implementation

Sequence prediction using recurrent neural networks(LSTM) with TensorFlow

Code, exercises and tutorials of my personal blog ! 📝

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

Unofficial implementation of "Image Inpainting for Irregular Holes Using Partial Convolutions". Try at: www.fixmyphoto.ai

Tensorflow implementation of paper: Learning to Diagnose with LSTM Recurrent Neural Networks.

3-day dive into deep learning at csc

Sets up a VM with Keras, TensorFlow, TFLearn and Theano installed

Sentiment Analysis with LSTMs in Tensorflow

🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo

DL course co-developed by YSDA, HSE and Skoltech

This toolbox is support material for the book on CNN (http://www.convolution.network).

最近在学习机器学习，深度学习，自然语言处理，统计学习方法等知识，理论学习主要根据readme的链接，在学习理论的同时，决定自己将学习的相关算法用Python实现一遍，并结合GitHub上相关大牛的代码进行改进，本项目会不断的更新相关算法，欢迎star，fork和关注。 主要包括： 1.吴恩达Andrew Ng老师的机器学习课程作业个人笔记 Python实现， 2.deeplearning.ai（吴恩达老师的深度学习课程笔记及资源） Python实现， 3.李航《统计学习方法》 Python代码实现， 4.自然语言处理NLP 牛津大学xDeepMind Python代码实现， 5.LeetCode刷题，题析，分析心得笔记 Java和Python代码实现， 6.TensorFlow人工智能实践代码笔记 北京大学曹健老师课程和TensorFlow：实战Google深度学习框架（第二版） Python代码实现， 附带一些个人心得和笔记。GitHub上有很多机器学习课程的代码资源，我也准备自己实现一下，后续会更新笔记，代码和百度云网盘链接。 这个项目主要是学习算法的，并且会不断更新相关资源和代码，欢迎关注，star，fork！ Min's blog 欢迎访问我的博客主页！ (Welcome to my blog website !)https://liweimin1996.github.io/

LSTM-CRF for NER with ConLL-2002 dataset

Multiple implementations for abstractive text summurization , using google colab

Train a state-of-the-art yolov3 object detector from scratch!

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

A collection of reference machine learning and optimization models for enterprise operations: marketing, pricing, supply chain

The fastai deep learning library

High-performance Vision library in Python. Scale your research, not boilerplate.

Reimplementation of DRAW

A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101

Food Classification with Deep Learning in Keras / Tensorflow

Hierarchical Attention Networks for Document Classification in PyTorch

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

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.

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

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

Convert TensorFlow models to ONNX

Generating Dance steps for given music with deep learning

Machine learning discord bot , Detects diseases within seconds with just an xray scan

Some interesting TensorFlow tutorials for beginners.

Implementation of Neural Image Captioning model using Keras with Theano backend

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

使用Theano实现的一些RNN代码，包括最基本的RNN，LSTM，以及部分Attention模型，如论文MLSTM等

Performance-optimized wheels for TensorFlow (SSE, AVX, FMA, XLA, MPI)

Another attempt to use Deep-Learning in the financial markets

keras를 이용한 딥러닝 기초 학습

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

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.

AI for everyone! 🎉 Neural networks, tools and a library we use in Supervisely

Implementation of a hierarchical CNN based model to detect Big Five personality traits

Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

All about Neural Networks!

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.

Memory efficient MAML using gradient checkpointing