7153 Open source projects that are alternatives of or similar to Video Classification

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

PyTorch tutorial for learners

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

Pytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

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

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

All about Neural Networks!

My Attempt(s) In The World Of ML/DL....

Deep learning codes and projects using Python

Natural Language Processing with TensorFlow, published by Packt

A modular library built on top of Keras and TensorFlow to generate a caption in natural language for any input image.

Efficient, transparent deep learning in hundreds of lines of code.

Image Captioning using InceptionV3 and beam search

A collection of UNet and hybrid architectures in PyTorch for 2D and 3D Biomedical Image segmentation

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

Code for Tensorflow Machine Learning Cookbook

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.

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

keras를 이용한 딥러닝 기초 학습

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

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

Some interesting TensorFlow tutorials for beginners.

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

Keras tutorial for beginners (using TF backend)

深度学习入门教程, 优秀文章, Deep Learning Tutorial

Sign Language Gesture Recognition From Video Sequences Using RNN And CNN

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

Learn how to use PyTorch to solve some common NLP problems with deep learning.

Stock Price Prediction using Machine Learning Techniques

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.

BasicOCR是一个致力于解决自然场景文字识别算法研究的项目。该项目由长城数字大数据应用技术研究院佟派AI团队发起和维护。

CNN, LSTM, NBOW, fasttext 中文文本分类

Sentiment Analysis with LSTMs in Tensorflow

All my experiments with AI and ML

Implementation of Neural Image Captioning model using Keras with Theano backend

The deeplearning algorithms implemented by tensorflow

Object classification with CIFAR-10 using transfer learning

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

The Official Deep Learning Framework for Route-based Place Recognition

Chinese Poetry Generation

Datasets, tools, and benchmarks for representation learning of code.

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。

Load forcasting on Delhi area electric power load using ARIMA, RNN, LSTM and GRU models

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

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)

利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码

CNN image classifier implemented in Keras Notebook 🖼️.

Time series Timeseries Deep Learning Pytorch fastai - State-of-the-art Deep Learning with Time Series and Sequences in Pytorch / fastai

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

A neural network that transforms a design mock-up into a static website.

lidc nodule detection with CNN and LSTM network

Deepfakes Video classification via CNN, LSTM, C3D and triplets

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

PyTorch tutorials A to Z

코딩셰프의 3분 딥러닝, 케라스맛

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

Predict Cryptocurrency Price with Deep Learning