6507 Open source projects that are alternatives of or similar to Nn_compression

Natural Language Processing with TensorFlow, published by Packt

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

Automatically generate headlines to short articles

Stock Price Prediction using Machine Learning Techniques

All my experiments with AI and ML

Deep learning codes and projects using Python

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

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

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

PyTorch tutorial for learners

Detecting emotions using MFCC features of human speech using Deep Learning

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

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

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)

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。

Sparse Variational Dropout, ICML 2017

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

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

All about Neural Networks!

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

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

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

A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding).

Chinese Poetry Generation

Code for Tensorflow Machine Learning Cookbook

코딩셰프의 3분 딥러닝, 케라스맛

TensorFlow Tutorial for Time Series Prediction

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

Sentiment Analysis with LSTMs in Tensorflow

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

1st place solution

Hierarchical Attention Networks for Chinese Sentiment Classification

implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)

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

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

Repository for the tutorial on Sequence-Aware Recommender Systems held at TheWebConf 2019 and ACM RecSys 2018

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

Keras tutorial for beginners (using TF backend)

Multiple implementations for abstractive text summurization , using google colab

Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)

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.

使用PyTorch实现Char RNN生成古诗和周杰伦的歌词

TF2.0 / TensorFlow 2.0 / TensorFlow2.0 官方文档中文版

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

This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks".

Code accompanying the ECCV 2020 paper "Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (* denotes equal contribution).

Deep learning for MIR

Official Python SDK for Hyperdash

Code for training py-faster-rcnn and py-R-FCN on multiple GPUs in caffe

An enhanced interactive Shell for Common Lisp (based on the Jupyter protocol)

Fast and memory-efficient clustering

Tools to participate in the ActivityNet Challenge 2016 (NIPSW 2016)

Think DSP: Digital Signal Processing in Python, by Allen B. Downey.

An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models

Code release for "learning to find good correspondences" CVPR 2018

TensorFlow implemenation of GRu4Rec model

Implementation of the Vanilla CNN described in the paper: Yue Wu and Tal Hassner, "Facial Landmark Detection with Tweaked Convolutional Neural Networks", arXiv preprint arXiv:1511.04031, 12 Nov. 2015. See project page for more information about this project. http://www.openu.ac.il/home/hassner/projects/tcnn_landmarks/ Written by Ishay Tubi : ishay2b [at] gmail [dot] com https://www.l

Repository for scripts and notebooks from the book: Programming PyTorch for Deep Learning