5921 Open source projects that are alternatives of or similar to Predicting Car Price From Scraped Data

koch et al, Siamese Networks for one-shot learning, (mostly) reimplimented in keras

Reimplementation of DRAW

🚎 Notebook sharing hub

collection of iPython notebooks

Python Examples for Remote Sensing

ProSPr: Protein Structure Prediction

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

Describe past Kaggle solutions

Book about interpretable machine learning

Noise reduction in python using spectral gating (speech, bioacoustics, time-domain signals)

DeltaPy - Tabular Data Augmentation (by @firmai)

Spit shine for Jupyter notebooks 🧽✨

A py.test plugin to validate Jupyter notebooks

Stanford CS231n assignment in 2019 spring

PyTorch1.x tutorials, examples and some books I found 【不定期更新】整理的PyTorch 1.x 最新版教程、例子和书籍

Implementation of Meta-RL A3C algorithm

身份证识别OCR

Educational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy

用Python做些有趣的项目

Deep Learning with PyTorch, published by Packt

AFINN sentiment analysis in Python

PyTorch implementation of "Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning"

Deep Learning Projects that Build Themselves

TensorFlow 中文教程 (Chinese Tutorials)

Python notes in Turkish.

My notes and superstitions about common machine learning algorithms

SpotMicro AI - How to build a self-learning Robot

《推荐系统实践》代码实现

🔦 A Pytorch implementation of GoogleBrain's SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition

PyTorch implementation of the CortexNet predictive model

A Keras model that addresses the Quora Question Pairs dyadic prediction task.

Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks

Scrape public filings of the buy + sell orders of U.S. senators and calculate their returns

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

line drawing colorization using chainer

Content for Udacity's Machine Learning curriculum

Totally Versatile Miscellanea for Pytorch

Statistics and accepted paper list of NLP conferences with arXiv link

Materials for DGL hands-on tutorial in WWW 2020

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

Tensorflow implementation of "Learning Deep Features for Discriminative Localization"

（完结）网易云课堂微专业《深度学习工程师》听课笔记，编程作业和课后练习

《Python深度学习》书籍代码

A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)

Mathematical derivation and pure Python code implementation of machine learning algorithms.

Introduction to python use in geosciences.

Building and Embedding Machine Learning Model into a Web App(With Flask,Streamlit,etc)

This is the code for "Convolutional Neural Networks - The Math of Intelligence (Week 4)" By Siraj Raval on Youtube

The source code for paper "Deep Image Spatial Transformation for Person Image Generation"

IPython Notebooks to learn Python

Machine learning notebooks in different subjects optimized to run in google collaboratory

Real-time portrait segmentation for mobile devices

Platform for designing and evaluating Graph Neural Networks (GNN)

Combining satellite imagery and machine learning to predict poverty

Action recognition using soft attention based deep recurrent neural networks