5965 Open source projects that are alternatives of or similar to Competition_baselines

Baseline of FashionAI Competition based on Keras.

Projects done in the Data Engineering Nanodegree by Udacity.com

Feature selector is a tool for dimensionality reduction of machine learning datasets

PyTorch implementation of SLAYER for training Spiking Neural Networks

This repository contains the Tutorials for the NPTEL MOOC on Machine Learning.

SphereFace+ Implementation for <Learning towards Minimum Hyperspherical Energy> in NIPS'18.

https://www.udemy.com/python-for-finance-and-trading-algorithms/

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

Home assignments for data science positions

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

Main code for Parcels (Probably A Really Computationally Efficient Lagrangian Simulator)

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.

Modification of fast.ai deep learning course notebooks for usage with Keras 2 and Python 3.

Introduction to Statistical Modeling with Python (PyCon 2017)

Scenarios, tutorials and demos for Autonomous Driving

Fundamentals of Spark with Python (using PySpark), code examples

Implementation code for the paper "Generating Natural Language Adversarial Examples"

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

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.

Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron

A collection of Pyomo examples

Chapterwise code available in the book

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

Time Series Forecasting Best Practices & Examples

Various math-related things in Python code

代码记录

Stereo convolutional neural network for depth map prediction from stereo images

ASAP: Prioritizing Attention via Time Series Smoothing

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).

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

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

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

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

To make it easy to benchmark AI accelerators

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

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

A Portfolio of my Data Science Projects

All the ML algorithms, ML models are coded from scratch by pure Python/Numpy with the Math under the hood. It works well on CPU.

周志华-机器学习

Python tutorials and puzzles to share with the world!

Open source person re-identification in Pytorch

A list of pretrained Transformer models for the Russian language.

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

Julia Project web site (Old)

A New, Interactive Approach to Learning Python

Tools for Sensor Fusion processing.

📈 如何用深度强化学习自动炒股

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

Notebooks for upcoming fastai book (draft / incomplete)

python，机器学习笔记，machine learning，nlp

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)

Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2020)

IPyPlot is a small python package offering fast and efficient plotting of images inside Python Notebooks. It's using IPython with HTML for faster, richer and more interactive way of displaying big numbers of images.

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

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