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

Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft

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

Optimization Examples with SigOpt

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

Keras Implementation of The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation by (Simon Jégou, Michal Drozdzal, David Vazquez, Adriana Romero, Yoshua Bengio)

Python for Finance Cookbook, published by Packt

A seq2seq model that can correct spelling mistakes.

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

Detecting and counting small objects - Analysis, review and application to counting

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.

爬虫+数据分析实战项目

Various Notebooks for Lernapparat.de

Code for training py-faster-rcnn and py-R-FCN on multiple GPUs in caffe

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

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

Introduction to ML packages for the 6.86x course

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.

Code accompanying the ECCV 2020 paper "Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (* denotes equal contribution).

This is a tutorial for PyTorch Geometric on the YooChoose dataset

Tools to participate in the ActivityNet Challenge 2016 (NIPSW 2016)

PyData Cookbook Project

Codes related to various ML Hackathons

TeachOpenCADD: a teaching platform for computer-aided drug design (CADD) using open source packages and data

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

统计学习方法训练营课程作业及答案，视频笔记在线阅读地址：https://relph1119.github.io/statistical-learning-method-camp

책) 파이썬으로 데이터 주무르기 - 소스코드 및 데이터 공개

My personal notes, presentations, and notebooks on everything Deep Learning.

线性代数笔记

Convolutional Neural Network for Multi-label Multi-instance Relation Extraction in Tensorflow

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

Machine Learning Model for Sport Predictions (Football, Basketball, Baseball, Hockey, Soccer & Tennis)

LargitData Course Material

Deep learning for MIR

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

Fast and memory-efficient clustering

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

Think DSP: Digital Signal Processing in Python, by Allen B. Downey.

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

Repository for scripts and notebooks from the book: Programming PyTorch for Deep Learning

Run any standard Python code quality tool on a Jupyter Notebook

Toolkit to obtain and preprocess german corpora, train models using word2vec (gensim) and evaluate them with generated testsets

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

Practical Time-Series Analysis, published by Packt

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

🍇 Edit and execute code snippets in the browser using Jupyter kernels

just some code snippet

Tensorflow 2.0 Notes 提供了TF2.0案例实战以及TF2.0基础实战，目标是帮助那些希望和使用Tensorflow 2.0进行深度学习开发和研究的朋友快速入门，其中包含的Tensorflow 2.0教程基本通过测试保证可以成功运行(有问题的可以提issue，笔记网站正在建设中)。

Pytho科学计算生态介绍的中文翻译，英文原文地址：

An interactive heatmap visualization built using D3.js

Python code for the fast bilateral solver

A tutorial for MNIST handwritten digit classification using sklearn, PyTorch and Keras.

基于深度学习的CTR预估，从FM推演各深度学习CTR预估模型（附代码）

Toy car that drives itself using neural networks

Word Embeddings for Information Retrieval

Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code.

A Repository of Notebooks for the Python Lecture Site