6888 Open source projects that are alternatives of or similar to Snap N Eat

Materials for PyCon 2017 presentation on optimizing Pandas code

Superpoint Implemented in PyTorch: https://arxiv.org/abs/1712.07629

Season 2 of @twosigma's artificial intelligence programming challenge

Tensorflow notes

Appearance-and-Relation Networks

PyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning

A fast, extensible, transparent python library for backtesting quantitative strategies.

A collection of IPython notebooks covering various topics.

Tools, wrappers, etc... for data science with a concentration on text processing

A collection of notebook to learn the Applied Predictive Modeling using Python.

Apache Spark (PySpark) Practice on Real Data

Based on the Pytorch-Transformers library by HuggingFace. To be used as a starting point for employing Transformer models in text classification tasks. Contains code to easily train BERT, XLNet, RoBERTa, and XLM models for text classification.

Ropsten public testnet PoW chain

Tutorial on "Modern Optimization Methods in Python"

w-net: a convolutional neural network architecture for the self-supervised learning of depthmap from pairs of stereo images.

Visual Question Answering Demo on pretrained model

Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.

(Part of) Chris Albon's Machine Learning with Python Cookbook in .ipynb form

Example Machine Learning Scripts for Numerai's Tournament

retrain gpt-2 in colab

전 세계의 멋진 케라스 문서 및 튜토리얼을 한글화하여 케라스x코리아를 널리널리 이롭게합니다.

Convolutional neural network analysis for predicting DNA sequence activity.

Create Discord server widgets for websites of all sizes! A simple to setup process for end-users. Server members may view or send messages into an embedded Discord channel.

Docker image with uWSGI and Nginx for Flask applications in Python running in a single container. Optionally with Alpine Linux.

Decentralized Machine Learning Client

A collection of various deep learning architectures, models, and tips

Multi-Graph Convolutional Neural Networks

RESTful search server written in Python, powered by SQLite.

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

Natural Language Processing with TensorFlow, published by Packt

Go binding for TensorFlow Lite

A python package that includes many methods for decoding neural activity

Tensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).

Tools for using a variational auto-encoder for latent image encoding and generation.

What scientific programmers must know about CPUs and RAM to write fast code.

Weakly Supervised Segmentation with Tensorflow. Implements instance segmentation as described in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017).

Flask-RBAC

Melusine is a high-level library for emails classification and feature extraction "dédiée aux courriels français".

Python code for the fast bilateral solver

Python solutions to solve practical business problems.

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

[tutorial]A functional, Data Science focused introduction to Python

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

《统计学习方法》（第一版）习题解答，在线阅读地址：https://datawhalechina.github.io/statistical-learning-method-solutions-manual

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

Repository containing files for my PyCon 2014 scikit-learn tutorial.

Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks

Code and Dataset for CVPR2020 "Dynamic Refinement Network for Oriented and Densely Packed Object Detection"

Codes related to various ML Hackathons

Pytorch implementation of set transformer

Python Bootcamp docs and lectures (UC Berkeley)

构建医疗实体识别的模型，包含词典和语料标注，基于python构建

Bonus materials, exercises, and example projects for our Python tutorials

A Python Matplotlib, Numpy library to manage wind data, draw windrose (also known as a polar rose plot), draw probability density function and fit Weibull distribution

Deep learning system course

Implementation of Factorization Machines on Spark using parallel stochastic gradient descent (python and scala)

Visual Search using Apache MXNet and gluon