1357 Open source projects that are alternatives of or similar to Kaggle Competition Favorita

Classify each facial image into one of the seven facial emotion categories considered using CNN based on https://www.kaggle.com/c/challenges-in-representation-learning-facial-expression-recognition-challenge

Object classification with CIFAR-10 using transfer learning

Keras implementation of Human Action Recognition for the data set State Farm Distracted Driver Detection (Kaggle)

A PyTorch Tutorials of Sentiment Analysis Classification (RNN, LSTM, Bi-LSTM, LSTM+Attention, CNN)

[UNMAINTAINED] Automated machine learning for analytics & production

Some of the ML and DL related reading materials, research papers that I've read

A collection of research papers on decision, classification and regression trees with implementations.

Implementation of soft dynamic time warping in pytorch

A Time Series Data Browser

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

PCN based on ncnn framework.

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)

🎨 🎨 深度学习 卷积神经网络教程 ：图像识别，目标检测，语义分割，实例分割，人脸识别，神经风格转换，GAN等🎨🎨 https://dataxujing.github.io/CNN-paper2/

A Collection of resources I have found useful on my journey finding my way through the world of Deep Learning.

Try to use tf.estimator and tf.data together to train a cnn model.

An "R" package for automatic download and preprocessing of MODIS Land Products Time Series

Grid Solutions Framework

🤖 Neural SPARQL Machines for Knowledge Graph Question Answering.

Java implementation of Seasonal-Trend-Loess time-series decomposition algorithm.

Pointer Networks Implementation in Keras

Use unsupervised and supervised learning to predict stocks

An End-to-end Outlier Detection System

A framework for systemic risk valuation and analysis.

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

JSON time-series of coronavirus cases (confirmed, deaths and recovered) per country - updated daily

Python implementation of k-Shape

📢 Ready to learn or review your knowledge!

Collections of model quantization algorithms

using rnn (lstm or gru) and ctc to convert line image into text, based on torch7 and warp-ctc

A repository to keep track of all the code that I end up writing for my blog posts.

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

Keras implementation of Legendre Memory Units

LSTM and QRNN Language Model Toolkit for PyTorch

A (CNN+)RNN(LSTM/BiLSTM)+CRF model for sequence labelling.😏

Chinese & English Cws Pos Ner Entity Recognition implement using CNN bi-directional lstm and crf model with char embedding.基于字向量的CNN池化双向BiLSTM与CRF模型的网络，可能一体化的完成中文和英文分词，词性标注，实体识别。主要包括原始文本数据，数据转换,训练脚本,预训练模型,可用于序列标注研究.注意：唯一需要实现的逻辑是将用户数据转化为序列模型。分词准确率约为93%，词性标注准确率约为90%，实体标注（在本样本上）约为85%。

主流ocr算法研究实验性的项目，目前实现了CNN+BLSTM+CTC架构

Time series analysis in Java

An extension on the Hierachical Recurrent Encoder-Decoder for Generative Context-Aware Query Suggestion, our implementation is in Tensorflow and uses an attention mechanism.

Aspect extraction from product reviews - window-CNN+maxpool+CRF, BiLSTM+CRF, MLP+CRF

The Wearables Development Toolkit - a development environment for activity recognition applications with sensor signals

Neural word segmentation with rich pretraining, code for ACL 2017 paper

In this project, I implemented several ensemble methods (including bagging, AdaBoost, SAMME, stacking, snapshot ensemble) for a normal CNN model and Residual Neural Network.

The plugin-driven server agent for collecting & reporting metrics.

Music genre classification with LSTM Recurrent Neural Nets in Keras & PyTorch

Time series based anomaly detector

StateSpaceModels.jl is a Julia package for time-series analysis using state-space models.

Ideal Ratio Mask (IRM) Estimation based Speech Enhancement using LSTM

A tour through recommendation algorithms in python [IN PROGRESS]

YOLO3 动漫人脸检测 (Based on keras and tensorflow) 2019-1-19

A java implementation of LightGBM predicting part

An open source library for Fuzzy Time Series in Python

Quantitative systematic trading strategy development and backtesting in Julia

Plain Stock Close-Price Prediction via Graves LSTM RNNs

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

Carbon is one of the components of Graphite, and is responsible for receiving metrics over the network and writing them down to disk using a storage backend.

Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)

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

GridDB is a next-generation open source database that makes time series IoT and big data fast,and easy.

List of tools & datasets for anomaly detection on time-series data.