6027 Open source projects that are alternatives of or similar to Tech Terms

ML.NET Workshop to predict car sales prices

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

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AI Generated Tees

Materials for Applied Machine Learning Taught in Python

Slides and Jupyter notebooks

Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]

Deep Hedging Demo - An Example of Using Machine Learning for Derivative Pricing.

📙 HOTTBOX: Higher Order Tensors ToolBOX. Tutorials

Kaggle Competition notebooks

Tutorials of TensorFlow eager execution

brief introduction to Python for machine learning

Kaggle에서 진행하는 경진대회의 코드를 올려둔 공간입니다.

A PyTorch Implementation of the paper - Choi, Woosung, et al. "Investigating u-nets with various intermediate blocks for spectrogram-based singing voice separation." 21th International Society for Music Information Retrieval Conference, ISMIR. 2020.

Particle Filter Implementations in Python and C++, with lecture notes and visualizations

Tips and tricks for plotting in python

A collection of Machine Learning Google_Colab_Notebooks

This is the code for "Neural Networks - The Math of Intelligence #4" by Siraj Raval on Youtube

Using NLTK to run an analysis on the Harry Potter corpus - different versions of this talk were given at Codeland in NYC and DjangoCon US in San Diego in 2018.

An experiment in creating a dump of your personal browser history for analysis

Preparatory Materials, Self-guided Learning, and Project Management for Neuromatch Academy activities

Stress-based Graph Drawing by Stochastic Gradient Descent

High-throughput gene to knowledge mapping through massive integration of public sequencing data.

Chatbot based on Rasa Framework

Implementation of ReSimNet for drug response similarity prediction

BUS 41204: Machine Learning

Ensemble Machine Learning Cookbook, published by Packt

Codebase for "Demystifying Black-box Models with Symbolic Metamodels", NeurIPS 2019.

Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution

DeepLearning.AI TensorFlow Developer Professional Certificate Specialization

Using deep learning approaches and convolutional neural networks (CNN) for spectroscopical data (deep chemometrics)

Contains the code for my financial machine learning articles

Repository for the PyData DC 2016 tutorial

Pretrained neural networks for UK Biobank brain MRI images. SFCN, 3D-ResNet etc.

GPU Recursive Filtering

Solution to Kaggle - Web Traffic Time Series Forecasting

A binary classification model based on tensorflow.

JULYEDU PyTorch Course

offline part of icyface

In-class exercises for Deep Learning course at NYC Data Science Academy

Implementation of "Domain-adaptive deep network compression", ICCV 2017

Notebooks to accompany the blog posts about the 2nd place Kaggle RSNA winners: https://github.com/darraghdog/rsna

Linguistic and stylistic complexity measures for (literary) texts

天池-印象盐城-汽车销量预测大赛

Forecasting Uber demand in NYC neighborhoods

Understanding Data and Machine Learning Models with Visualizations

This repository contains the code for the paper "An unexpectedly large count of trees in the western Sahara and Sahel".

ECON 5253: Data Science for Economists, University of Oklahoma (Spring 2019)

Jupyter magics and kernels for working with remote Spark clusters

Attempting to make the Deep Learning Book easier to understand.

Stock price trend analysis using Fourier transform

Library to plot integer sets and maps

Reliably download millions of images efficiently