6022 Open source projects that are alternatives of or similar to Delf_enhanced

PyTorch Implementation of "Large-Scale Image Retrieval with Attentive Deep Local Features"

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Graph Neural Ordinary Differential Equations

Introduction to Chemical Engineering Analysis

Hands-on Exploratory Data Analysis with Python, published by Packt

Implementation of different machine learning techniques

Convolutional Neural Network based regression approach for estimating machinery's remaining useful life

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code for paper "Graph Structure of Neural Networks"

机器学习相关

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Pytorch Implementation of Interaction Networks for Learning about Objects, Relations and Physics

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ResUNet, a semantic segmentation model inspired by the deep residual learning and UNet. An architecture that take advantages from both(Residual and UNet) models.

NJU Master Course **Big Data Mining and Analysis**

collaborative audio module for fast.ai

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legend

The Numenta Anomaly Benchmark

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Your Advanced Twitter stalking tool

Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes

Graph-Based Data Science: an abstraction layer in Python for building knowledge graphs, integrated with popular graph libraries – atop Pandas, RDFlib, pySHACL, RAPIDS, NetworkX, iGraph, PyVis, pslpython, pyarrow, etc.

Machine Learning Sound Classifier

Code, slides, and documentation for the talks I have given.

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Exercise Solutions for Reinforcement Learning: An Introduction [2nd Edition]

Tutorial teaching the basics of Keras and some deep learning concepts

百度机器阅读理解竞赛模型代码 ，获得 final 第三名

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A companion code for my Medium post

[Cancer Research] 3D Deep Learning from CT Scans Predicts Tumor Invasiveness of Subcentimeter Pulmonary Adenocarcinomas

A Primer on Gaussian Processes for Regression Analysis (PyData NYC 2019)

PyTorch tutorial for learners

Keras implementation of GradCAM.

Colabs for ML Day Tokyo

A re-implementation of mtcnn. Joint training, tutorial and deployment together.

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Dashboard template for Voilà based on GridStackJS

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Created the contents of this repo originally for a workshop I gave at UCLA

Unofficial PyTorch implementation of "Learning a Neural Solver for Multiple Object Tracking"

An implementation of the Viterbi Algorithm for training Hidden Markov models. This repo accompanies the video found here: https://www.youtube.com/watch?v=kqSzLo9fenk

This is the code for "Mathematcs of Machine Learning" by Siraj Raval on Youtube

Deep learning and Reinforcement learning lecture and course work