6367 Open source projects that are alternatives of or similar to Athena

Super simple heartbeat and metrics monitoring

this is my presentaion area .个人演讲稿展示区，主要展示一些平时的个人演讲稿或者心得之类的，

This code shows how to get Twitter users interests combining Twitter API and MonkeyLearn.

Introduction to Probability and Statistics

Theano/Lasagne based Neural artistic style transfer with Kivy GUI

Deep Regression Tracking with Shrinkage Loss

Some iPython Notebooks I have created for personal learning

Deep reinforcement learning. In scikit-learn. In less than 50 effective lines.

RNN(SimpleRNN, LSTM, GRU) Tensorflow2.0 & Keras Notebooks (Workshop materials)

This depot contain tutorials for real beginners who want to understand machine learning by reading some code.

This is our solution for WSDM - DiggSci 2020. We implemented a simple yet robust search pipeline which ranked 2nd in the validation set and 4th in the test set. We won the gold prize at innovation track and bronze prize at dataset track.

Material for Pandas Tutorial at Pydata Carolinas 2016

Code and data for the paper "A Neural Architecture for Generating Natural Language Descriptions from Source Code Changes"

Notebook from the Deep Learning Twitch Series on AWS (https://twitch.tv/aws)

It's my projects

🌻 提供一系列的 Python 教學，讓初學者或是有程式基礎的人，快速融入 Python 的世界

"Neural Turing Machine" in Tensorflow

Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018

Dynamic seq2seq in TensorFlow, step by step

This a Deep learning AI system which recognize handwritten characters, Here I use chars74k data-set for training the model

We pit Keras and PyTorch against each other, showing their strengths and weaknesses in action. We present a real problem, a matter of life-and-death: distinguishing Aliens from Predators!

Solutions in Python for Kevin Murphy's Machine Learning: a Probabilistic Perspective

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

Korean English NMT(Neural Machine Translation) with Gluon

公众号《林骥》的文章和代码

Teal deer (from TL;DR) helps you get the gist of all the stuff you need to read, so you don't have to read it all at once.

Unofficial implementation of 'Implicit Neural Representations with Periodic Activation Functions'

The notes for Math, Machine Learning, Deep Learning and Research papers.

The Foundations of Computer Science XSeries, offered by the M.I.T. Department of Electrical Engineering and Computer Science, is a sequence of courses that introduce key concepts of computer science and computational thinking. Students apply these concepts and build their engineering skills by completing software and hardware design problems. Additionally, students test their understanding by taking a series of exams.

SalmonTE is an ultra-Fast and Scalable Quantification Pipeline of Transpose Element (TE) Abundances

🍣 Implementations of fundamental algorithms and data structures. Happy Hacktoberfest!

Unwrapping decision trees and random forests to make them less of a black box

Course Materials Big Data and Automated Content Analysis

Códigos explicados nos vídeos do canal Universo Discreto (YouTube)

DL course co-developed by YSDA, HSE and Skoltech

A workshop on data privacy methods for data scientists.

My solution to the book A Collection of Data Science Take-Home Challenges

Experiments for Jeremy Howard's deep learning courses

Notes from the PyTorch Udacity / Facebook scholarship course

Code for 'The Grand Atari Challenge dataset' paper

Used LSTM Network to classify eeg signals based on stimuli the subject recieved (visual or audio)

Few of the essential image augmentation techniques.

Notebooks and files for the Python for Journalists course on Datajournalism.com

Adventure into using multi attention recurrent neural networks for time-series (city traffic) for the 2017-11-18 McKinsey IronMan (24h non-stop) prediction challenge

Remote photoplethysmography measures heart rate of a person without any contact, from their video. This is an implementation of rPPG called as Plane Orthogonal-to-Skin (POS) as described in the IEEE paper - "Algorithmic Principles of Remote PPG," W. Wang, A. C. den Brinker, S. Stuijk and G. de Haan.

Efficiently solving instances of a parameterized family of (possibly mixed-integer) linear/quadratic optimization problems in Julia

Thailand Election'62 Candidate Information Browsing Website

A small repo in which I play with the ideas of causal modelling.

Curso sobre Aprendizaje Profundo por Refuerzo en ECI 2019

Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC

A Comprehensive Tutorial on Video Modeling

Diseases Detection from NIH Chest X-ray data

Code repository of the paper "Wavelet Networks: Scale Equivariant Learning From Raw Waveforms" https://arxiv.org/abs/2006.05259

This repository is the official implementation of Geo-PIFu: Geometry and Pixel Aligned Implicit Functions for Single-view Human Reconstruction.

Information about my experiences on ethical hacking 💀