1002 Open source projects that are alternatives of or similar to Jlm

Speaker independent emotion recognition

Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems

To classify video into various classes using keras library with tensorflow as back-end.

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

Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.

A Natural Language Toolkit for Indian Languages

Named Entity Recognition using multilayered bidirectional LSTM

PyTorch tutorial for learners

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.

Chinese Poetry Generation

Image Captioning using InceptionV3 and beam search

Implementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971

A neural network to generate captions for an image using CNN and RNN with BEAM Search.

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

The Official Deep Learning Framework for Route-based Place Recognition

PyTorch CTC Decoder bindings

convolutional lstm implementation in pytorch

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

Keras tutorial for beginners (using TF backend)

Application of machine learning to the Coinbase (GDAX) orderbook

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

Deep Learning in Haskell

Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node

Curated list for Deep Reinforcement Learning (DRL): software frameworks, models, datasets, gyms, baselines...

Intro to Deep Learning, including recurrent, convolution, and feed forward neural networks.

DLTK Model Zoo

Top 200 deep learning Github repositories sorted by the number of stars.

nGraph has moved to OpenVINO

PyTorch Language Model for 1-Billion Word (LM1B / GBW) Dataset

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

CRF-RNN PyTorch version http://crfasrnn.torr.vision

One million English sentences, each split into two sentences that together preserve the original meaning, extracted from Wikipedia edits.

Android TensorFlow MachineLearning Example (Building TensorFlow for Android)

Pytorch implementation of ICRA 2020 paper "360° Stereo Depth Estimation with Learnable Cost Volume"

A collection of materials to help you learn about deep learning

Multitask Deep Learning for Sentiment Analysis using Character-Level Language Model, Bi-LSTMs for POS Tag, Chunking and Unsupervised Dependency Parsing. Inspired by this great article https://arxiv.org/abs/1611.01587

Time series prediction with Sequential Model and LSTM units

PHP wrapper for Zxing Java library

Convert audio files between Tencent apps (Weixin / Wechat, QQ) and Silk codec with other general formats such as MP3 and M4A

Stochastic Delta Rule implemented in Pytorch on DenseNet

An all-in-one Deep Learning toolkit for image classification to fine-tuning pretrained models using MXNet.

A collection of resources that should help and guide your first steps as you learn ML and DL. I am a beginner as well, and these are the resources I found most useful.

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

Visual Attribute Transfer through Deep Image Analogy in PyTorch!

Mapping a variable-length sentence to a fixed-length vector using BERT model

Multi-layer Recurrent Neural Networks (LSTM, RNN) for word-level language models in Python using TensorFlow.

Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info

Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall

Keras implementation of video classifier

Tensorflow implementation for the paper 'Learning Deep Latent Spaces for Multi-Label Classfications' in AAAI 2017

CNN, LSTM, NBOW, fasttext 中文文本分类

A Tensorflow based implicit recommender system

NiuTrans.SMT is an open-source statistical machine translation system developed by a joint team from NLP Lab. at Northeastern University and the NiuTrans Team. The NiuTrans system is fully developed in C++ language. So it runs fast and uses less memory. Currently it supports phrase-based, hierarchical phrase-based and syntax-based (string-to-tree, tree-to-string and tree-to-tree) models for research-oriented studies.

Pytorch implementation of the DeepDream computer vision algorithm

hand ported version of vp8 webm javascript decoder

Time Series Forecast with Bitcoin value, to detect upward/down trends with Machine Learning Algorithms

Official PyTorch implementation of the paper "Self-Supervised Relational Reasoning for Representation Learning", NeurIPS 2020 Spotlight.

LSTM and CNN sentiment analysis