6370 Open source projects that are alternatives of or similar to Swapnet

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

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爬虫+数据分析实战项目

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

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

Ropsten public testnet PoW chain

Representing research papers as vectors / latent representations.

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

FaceNet for face recognition using pytorch

A simpler version of the self-attention layer from SAGAN, and some image classification results.

Codes related to various ML Hackathons

Collection of generative models in Pytorch version.

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

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

PyData Cookbook Project

CS198-96: Intro to Neurotechnology @ UC Berkeley

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

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

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

Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".

Implementation of Deep Deterministic Policy Gradients using TensorFlow and OpenAI Gym

Assignments and notes for the Self Driving Cars course offered by University of Toronto on Coursera

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

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

꼼꼼한 딥러닝 논문 리뷰와 코드 실습

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An easy to use blogging platform, with enhanced support for Jupyter Notebooks.

Getting start with PySpark and MLlib

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

Contains Jupyter Notebooks of stuff I am working on.

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

This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks".

Deep learning for MIR

( ECCV2018 ) Macro-Micro Adversarial Network for Human Parsing

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

Official Python SDK for Hyperdash

Fast and memory-efficient clustering

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

Devenez Data-Scientist sur Le Wagon On Demand

Deploy AutoML as a service using Flask

Open source ultrasound processing modules and building blocks

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

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

An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models

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

Auxiliary Classifier Generative Adversarial Networks in Keras

Deep Learning with TensorFlow 2 and Keras, published by Packt

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

Scripts/Notebooks used for my articles published on Medium

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Practical Time-Series Analysis, published by Packt

Python tutorials for introduction to machine learning

Data from the largest and longest measurement of online tracking.

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

my assignment solutions for CS231n Convolutional Neural Networks for Visual Recognition