6247 Open source projects that are alternatives of or similar to Py Rfcn Priv

Performance analysis of predictive (alpha) stock factors

This repository contains code for the paper Learning by Association - A versatile semi-supervised training method for neural networks (CVPR 2017) and the follow-up work Associative Domain Adaptation (ICCV 2017).

Python tutorials and puzzles to share with the world!

🛠 All-in-one web-based IDE specialized for machine learning and data science.

Open source notebooks to create state-of-the-art detection, segmentation, & classification of buildings on drone/aerial imagery with deep learning

Face Depixelizer based on "PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models" repository.

nbconvert as a web service: Render Jupyter Notebooks as static web pages

C/C++/Python based computer vision models using OpenPose, OpenCV, DLIB, Keras and Tensorflow libraries. Object Detection, Tracking, Face Recognition, Gesture, Emotion and Posture Recognition

PennAI: AI-Driven Data Science

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pytorch 2 caffe

pyiron - an integrated development environment (IDE) for computational materials science.

PyTorch implementation of SLAYER for training Spiking Neural Networks

ASAP: Prioritizing Attention via Time Series Smoothing

Project analyzes Amazon Stock data using Python. Feature Extraction is performed and ARIMA and Fourier series models are made. LSTM is used with multiple features to predict stock prices and then sentimental analysis is performed using news and reddit sentiments. GANs are used to predict stock data too where Amazon data is taken from an API as Generator and CNNs are used as discriminator.

PyTorch Implementation of Realtime Multi-Person Pose Estimation project.

Home assignments for data science positions

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

A collection of Pyomo examples

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

Tools for Sensor Fusion processing.

Source code to accompany my paper "Poetic sound similarity vectors using phonetic features"

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

基于v2版本的deeplab,使用VGG16模型，在VOC2012，Pascal-context，NYU-v2等多个数据集上进行训练

🇰🇷PyTorch에서 제공하는 튜토리얼의 한국어 번역을 위한 저장소입니다. (Translate PyTorch tutorials in Korean🇰🇷)

A numpy implementation of forward energy from the paper “Improved Seam Carving for Video Retargeting" (2008)

Chapterwise code available in the book

python，机器学习笔记，machine learning，nlp

Time Series Forecasting Best Practices & Examples

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.

🌎 machine learning tutorials (mainly in Python3)

Training a Neural Network to Detect Gestures and Control Smart Home Devices with OpenCV in Python

Jupyter Notebook exercises for k-means clustering with Python 3 and scikit-learn

Predict remaining useful life of a component based on historical sensor observations using automated feature engineering

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

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

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

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.

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Reading notes on the excellent "Designing Data-Intensive Applications"

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Referring Expression Datasets API

Animated GIF patterns made in Python Matplotlib.

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To make it easy to benchmark AI accelerators

A Unified Database of NYC transport (subway, taxi/Uber, and citibike) data.

2nd Place Solution 💰🥈