6145 Open source projects that are alternatives of or similar to Food2vec

All my experiments with AI and ML

Deep Learning Food Classifier for iOS using Keras and Tensorflow

food image to recipe with deep convolutional neural networks.

Food detection and recommendation with deep learning

Graph convolutional neural network for multirelational link prediction

CoFactor: Regularizing Matrix Factorization with Item Co-occurrence

A small, interpretable codebase containing the re-implementation of a few "deep" NLP models in PyTorch. Colab notebooks to run with GPUs. Models: word2vec, CNNs, transformer, gpt.

A curated list of awesome embedding models tutorials, projects and communities.

Representing research papers as vectors / latent representations.

A Case Study Approach to Successful Data Science Projects Using Python, Pandas, and Scikit-Learn

Deep learning codes and projects using Python

Python tutorials for introduction to machine learning

Automatic image captioning model based on Caffe, using features from bottom-up attention.

Example of "biological" learning for MNIST

NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection.

Code for NeurIPS 2019 paper: "Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes"

A beginner-friendly project to help you in open-source contributions. Made specifically for contributions in HACKTOBERFEST 2020! Hello World Programs and Algorithms! Please leave a star ⭐ to support this project! ✨

This trading-gym is the first trading for agent to train with episode of short term trading itself.

Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray

Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

Materials for a short course on convex optimization.

Implementation of Deep Deterministic Policy Gradients using TensorFlow and OpenAI Gym

python tutorial

Python/Keras implementation of integrated gradients presented in "Axiomatic Attribution for Deep Networks" for explaining any model defined in Keras framework.

Veri Defteri Üzerine Kısa Notlar (www.veridefteri.com)

Python for Finance Cookbook, published by Packt

High-speed simulator of convolutional spiking neural networks with at most one spike per neuron.

A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release that enables easy visualization and analysis of models, and comparison across training algorithms.

Various Notebooks for Lernapparat.de

RadIO is a library for data science research of computed tomography imaging

Text detection model that combines Retinanet with textboxes++ for OCR

Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Now updated with Dask to handle millions of rows.

This is a tutorial for PyTorch Geometric on the YooChoose dataset

Codes related to various ML Hackathons

Vector AI — A platform for building vector based applications. Encode, query and analyse data using vectors.

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线性代数笔记

Scripts and code examples. Includes Spark notes, Jupyter notebook examples for Spark, Impala and Oracle.

LargitData Course Material

Library extending Jupyter notebooks to integrate with Apache TinkerPop and RDF SPARQL.

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

A TensorFlow implementation of Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks (http://arxiv.org/pdf/1312.6082.pdf)

Data, Benchmarks, and methods submitted to the M5 forecasting competition

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Intro to deep learning for medical imaging lesson, by MD.ai

A collection of tools to collect and download various data.

Repository for coursera specialization Applied Data Science with Python by University of Michigan

Code for a workshop on statistical interference using computational methods in Python.

A centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.

Reference deployment of JupyterHub and nbgrader on a single server

just some code snippet

Python code for the fast bilateral solver