6673 Open source projects that are alternatives of or similar to Competition Baseline

My assignment solutions for CS231n - Convolutional Neural Networks for Visual Recognition

Ethereum smart contracts that have been used during successful ICOs

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

Various math-related things in Python code

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

A machine learning experiment

BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and machine learning workflows even for datasets that do not fit into memory.

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

Dash Demo App - New York Oil and Gas

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).

Labs for the Foundations of Applied Mathematics curriculum.

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I took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because I love jupyter notebooks!

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

This is the Code for "Deep Q Learning - The Math of Intelligence #9" By Siraj Raval on Youtube

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

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

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NMT for chinese-english using fairseq

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Tutorial and Examples Jupyter Notebooks for Altair

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

📚 Notebook storage and publishing workflows for the masses

Learn applied deep learning from zero to deployment using TensorFlow 1.8+

COMS W4995 Applied Machine Learning - Spring 18

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

周志华-机器学习

An awesome semantic segmentation model that runs in real time

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Open source person re-identification in Pytorch

Курс "Прикладные задачи анализа данных" (ВМК, МГУ имени М.В. Ломоносова)

In this notebook we will explore a machine learning approach to find anomalies in stock options pricing.

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.

[DEPRECATED] 🔊️ Audio with fastaiv1

A list of pretrained Transformer models for the Russian language.

Julia Project web site (Old)

Электронный учебник-пособие по научной графике в python

This is the code for "Bitcoin Trading Bot" By Siraj Raval on Youtube

图书《Python编程：从数据分析到数据科学》的配套资源

Tensorflow/Keras code and trained models for Episodic Curiosity Through Reachability

Links to Russian corpora + Python functions for loading and parsing

A collection of Pyomo examples

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How to build RNNs and LSTMs from scratch with NumPy.

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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

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python，机器学习笔记，machine learning，nlp

Enables the use of Stata together with Python via Jupyter (IPython) notebooks.

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INTERSPEECH 2019 Tutorial Materials