6716 Open source projects that are alternatives of or similar to Deepnlp Models Pytorch

UrbanSound classification using Convolutional Recurrent Networks in PyTorch

Learn OpenCV : C++ and Python Examples

A curated list of Machine Learning and Deep Learning tutorials in Jupyter Notebook format ready to run in Google Colaboratory

Repository containing files for my PyCon 2014 scikit-learn tutorial.

Azure Machine Learning Lab Notebooks

A Deep Learning based project for colorizing and restoring old images (and video!)

Yolov5 real time smoke detection system

A framework for hydrodynamics explorations and prototyping

Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832

Homepage for STAT 157 at UC Berkeley

Scientific Python Geometric Algorithms Library

Free tech resources for faculty, students, researchers, life-long learners, and academic community builders for use in tech based courses, workshops, and hackathons.

Pytorch version of Realtime Multi-Person Pose Estimation project

免费学代码系列：小白python入门、数据分析data analyst、机器学习machine learning、深度学习deep learning、kaggle实战

An interactive book on deep learning. Much easy, so MXNet. Wow. [Straight Dope is growing up] ---> Much of this content has been incorporated into the new Dive into Deep Learning Book available at https://d2l.ai/.

Project which implements extraction of data from scatter plots

Implemented digit detector in natural scene using resnet50 and Yolo-v2. I used SVHN as the training set, and implemented it using tensorflow and keras.

A tutorial on TensorFlow

Previous version of eeg-notebooks

PyTorch implementation of VQ-VAE by Aäron van den Oord et al.

This notebook shows how to implement LibFM in Keras and how it was used in the Talking Data competition on Kaggle.

Kotlin API for Lets-Plot - an open-source plotting library for statistical data.

Multi-hop knowledge graph reasoning learned via policy gradient with reward shaping and action dropout

just some code snippet

A web frontend for scheduling Jupyter notebook reports

SegNet model implemented using keras framework

Unsupervised Scalable Representation Learning for Multivariate Time Series: Experiments

Quantitative Interview Preparation Guide, updated version here ==>

This something about deep learning on Coursera by Andrew Ng

This is the official repository for the Recommender Systems course at Politecnico di Milano.

THE String Processing Package for R (with ICU)

YoloV3 Implemented in Tensorflow 2.0

AI 算法岗简历模板

Data preparation and loader for AMASS

emoji2vec: Learning Emoji Representations from their Description

Run M Files from Python - GNU Octave to Python bridge

Segment-CNN: A Framework for Temporal Action Localization in Untrimmed Videos via Multi-stage CNNs

A wrapper of the COCOeval class for extended keypoint error estimation analysis.

Trading Bot with focus on Evolutionary Algorithms and Machine Learning

点睛 - 头条号文章标题生成工具 （Dianjing, AI to write Title for Articles）

基于深度学习的CTR预估，从FM推演各深度学习CTR预估模型（附代码）

A set of tutorials for torchtext

Machine Learning for finance and investment introduction

Methods with examples for Feature Selection during Pre-processing in Machine Learning.

A collection of resources for pandas (Python) and related subjects.

Ten Simple Rules for Writing and Sharing Computational Analyses in Jupyter Notebooks

AI/ML citation graph with postgres + graphql

Recurrent Neural Network and Long Short Term Memory (LSTM) with Connectionist Temporal Classification implemented in Theano. Includes a Toy training example.

Code snippets from Kite blog posts

Deep learning based speech source separation using Pytorch

Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.

A Repository of Notebooks for the Python Lecture Site

This is the code for "Bitcoin Prediction" by Siraj Raval on Youtube

Visualizations based on best open science practices.

Korean HateSpeech Dataset

Explains nlp building blocks in a simple manner.

a toolkit for working with Oxford nanopore data