6614 Open source projects that are alternatives of or similar to Signals And Systems Lecture

.NET library for 1D signal processing focused specifically on audio processing

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Sentiment analysis on Amazon Review Dataset available at http://snap.stanford.edu/data/web-Amazon.html

Python solutions to the problem sets of Stanford's graduate course on Machine Learning, taught by Prof. Andrew Ng

PennAI: AI-Driven Data Science

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Implementation of the paper "NetGAN: Generating Graphs via Random Walks".

No description, website, or topics provided.

MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope)

MINE: Mutual Information Neural Estimation in pytorch (unofficial)

2nd Place Solution 💰🥈

Collection of Artificial Intelligence projects.

Keras implementation of "Few-shot Learning for Named Entity Recognition in Medical Text"

Repo replaced by cogsec-collaborative/AMITT

A PyTorch implementation of "DGC-Net: Dense Geometric Correspondence Network"

Statistical Rethinking (2nd Ed) with Tensorflow Probability

FgSegNet: Foreground Segmentation Network, Foreground Segmentation Using Convolutional Neural Networks for Multiscale Feature Encoding

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瑞金医院MMC人工智能辅助构建知识图谱大赛复赛

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This repository contains three ways to obtain arbitrage which are Dual Listing, Options and Statistical Arbitrage. These are projects in collaboration with Optiver and have been peer-reviewed by staff members of Optiver.

Python tutorials and puzzles to share with the world!

AI Toolkit for Azure IoT Edge

资产配置方案

Kaggle Segmentation Challenge

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

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Deep Learning Summer School + Tensorflow + OpenCV cascade training + YOLO + COCO + CycleGAN + AWS EC2 Setup + AWS IoT Project + AWS SageMaker + AWS API Gateway + Raspberry Pi3 Ubuntu Core

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A minimal implementaion (less than 150 lines of code with visualization) of DCGAN/WGAN in PyTorch with jupyter notebooks

ASAP: Prioritizing Attention via Time Series Smoothing

Notebooks for https://python.quantecon.org

Introduction to Statistical Modeling with Python (PyCon 2017)

DEPRECATED 尝试使用中文文本训练RNN来产生中文小说。（No longer under maintanance.）

Keras-tensorflow implementation of PersonLab (https://arxiv.org/abs/1803.08225)

Train transformer language models with reinforcement learning.

Pytorch Implementation of Perceptual Losses for Real-Time Style Transfer and Super-Resolution

Here lies all the exercises I implement and share in my website

MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification

Chapterwise code available in the book

Semi-Supervised Video Object Segmentation (VOS) with Tensorflow. Includes implementation of *MaskRNN: Instance Level Video Object Segmentation (NIPS 2017)* as part of the NIPS Paper Implementation Challenge.

Some example scripts on pytorch

Collection of Python Scripts for my YouTube channel

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Repositório do Deep Learning Book - www.deeplearningbook.com.br

代码记录

HDDM is a python module that implements Hierarchical Bayesian parameter estimation of Drift Diffusion Models (via PyMC).

I used Machine Learning to make a Logistic Regression model using scikit-learn, pandas, numpy, seaborn and matplotlib to predict the results of FIFA 2018 World Cup.