1042 Open source projects that are alternatives of or similar to E3d_lstm

Notes for Deep Learning Specialization Courses led by Andrew Ng.

Machine Learning Toolkit for Extreme Scale (MaTEx)

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

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[CVPR19] DeepCO3: Deep Instance Co-segmentation by Co-peak Search and Co-saliency (Oral paper)

An extensive machine learning library, made from scratch (Python).

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The authors' implementation of Unsupervised Adversarial Learning of 3D Human Pose from 2D Joint Locations

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中文聊天机器人，基于10万组对白训练而成，采用注意力机制，对一般问题都会生成一个有意义的答复。已上传模型，可直接运行，跑不起来直播吃键盘。

Time series prediction with Sequential Model and LSTM units

Word Embedding + LSTM + FC

Keras implementation of video classifier

The standard package for machine learning with noisy labels, finding mislabeled data, and uncertainty quantification. Works with most datasets and models.

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Unofficial implementation with pytorch DistributedDataParallel for "MoCo: Momentum Contrast for Unsupervised Visual Representation Learning"

The code for the MaD TwinNet. Demo page:

convolutional lstm implementation in pytorch

Human Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras

Reference code for the paper "Learning Multi-Scale Photo Exposure Correction", CVPR 2021.

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Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)

Models for predicting emotions from English tweets.

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

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

Annotation of ECG signals using deep learning, tensorflow’ Keras

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

datagrand 2019 information extraction competition rank9

Classification of the Hyperspectral Image Indian Pines with Convolutional Neural Network

Unsupervised learning and generative models in python/pytorch.

A micro neural network multilayer perceptron for MicroPython (used on ESP32 and Pycom modules)

Automatic line art colorization using various types of hint or without hint

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

Using Machine Learning to predict the type of exercise from movement data

CNN, LSTM, NBOW, fasttext 中文文本分类

[UNMAINTAINED] Automated machine learning for analytics & production

This package contains an OCR engine - libtesseract and a command line program - tesseract. Tesseract 4 adds a new neural net (LSTM) based OCR engine which is focused on line recognition, but also still supports the legacy Tesseract OCR engine of Tesseract 3 which works by recognizing character patterns. Compatibility with Tesseract 3 is enabled by using the Legacy OCR Engine mode (--oem 0). It also needs traineddata files which support the legacy engine, for example those from the tessdata repository.

LSTM and CNN sentiment analysis

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

WB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].

FastText for Node.js

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A Graphical user Interface for deep learning and computer vision over Monk Libraries

Deepfakes Software For All

机器学习与深度学习算法示例

capsule networks that achieves outstanding performance on the German traffic sign dataset

A paper list of object detection using deep learning.

Streaming Anomaly Detection Framework in Python (Outlier Detection for Streaming Data)

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

Convolutional Autoencoder for Loop Closure

Machine learning, in numpy

Context-Dependent Sentiment Analysis in User-Generated Videos

Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds (CVPR 2020)

All my experiments with AI and ML

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