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acmsigchi_umcit2019

User Modeling and Personalization in Urban Computing

active-learning-and-online-learning-machine-learning-algorithms.

Passive-Aggressive Algorithm and Active Passive-Aggressive Online Algorithm. Kernel Passive-Aggressive Algorithm.

advance-algorithms-travelling-salesman-problem

An implementation of the travelling salesman problem using Brute-force, Branch-and-bound, removing-edges, MST-approximationn, Nearest_neighbour(greedy), Dynamic Programming, Randomized approach, Genetic programming

advance-machine-learning-kernel-method

Advance machine Learning: Kernel methods implemented for PCA, KMeans, Logistic Regression, Support Vector Machine (SVM) and Support Vector Data Description (SVDD)

algorithm-trading-and-stock-prediction-using-machine-learning

ALGORITHM TRADING AND STOCK PREDICTION USING MACHINE LEARNING

algorithms

A collection of algorithms

bert

TensorFlow code and pre-trained models for BERT

blockchain_with_python

Step 1: Building a Blockchain Open up your favourite text editor or IDE. We’ll only use a single file, but if you get lost, you can always refer to the source code. Representing a Blockchain We’ll create a Blockchain class whose constructor creates an initial empty list (to store our blockchain), and another to store transactions. Here’s the blueprint for our class:

combine-rsgau

The official COMBINE Australia GitHub Repository

data-mining-and-insgight-exploration

Exploring a hosing dataset to find insights, trend and feature correlations among categories

disentanglement_lib

disentanglement_lib is an open-source library for research on learning disentangled representations.

dopamine

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

editdistanceadvancealgoproject

Minimum Edit Distance (Advance Algorithm Project)- Implementing Dynamic, Greedy, Branch and Bound, K-strip Algo

edward

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

eigen-frequency-clustering-using-kmeans-dbscan-pca-hdbscan

EIGEN FREQUENCY CLUSTERING USING [KMEANS] [KMEANS & PCA ] [DBSCAN] [HDBSCAN]

flair

A very simple framework for state-of-the-art Natural Language Processing (NLP)

forecasting-1.0

Predictive algorithm for forecasting the mexican stock exchange. Machine Learning approach to forecast price and Indicator behaviours of MACD, Bollinger and SuperTrend strategy

gcvae

Generalized-Controllable Variational Autoencoder (GCVAE)

high-dimensional-data-clustering

Implementation of hierarchical clustering on small n-sample dataset with very high dimension. Together with the visualization results implemented in R and python

latent-modeling-for-early-prediction-of-sepsis-from-clinical-data

mmd-variational-autoencoder

n-th_monsien_number

find the n-th Monisen number. A number M is a Monisen number if M=2**P-1 and both M and P are prime numbers. For example, if P=5, M=2**P-1=31, 5 and 31 are both prime numbers, so 31 is a Monisen number. Put the 6-th Monisen number into a single text file and submit online.

nlp-project-book-insights-with-plotly

Plotly-Dash NLP project. Document similarity measure using Latent Dirichlet Allocation, principal component analysis and finally follow with KMeans clustering. Project is completed with dynamic visual interaction.

ott

piu-datamining-water-table

Pump it Up: Data Mining the Water Table

postgre-database-management-using-django-rest-api

Django application for automatically populating a postgre database and manipulating the frontend of the application. Users can easily search keywords from the frondend and save query result in different formats.

pover-t-tests-predicting-poverty---a-datamining-project

Harness the power of these data to identify the strongest predictors of poverty? Right now measuring poverty is hard, time consuming, and expensive. By building better models, we can run surveys with fewer, more targeted questions that rapidly and cheaply measure the effectiveness of new policies and interventions. The more accurate our models, the more accurately we can target interventions and iterate on policies, maximizing the impact and cost-effectiveness of these strategies.

prophet

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

python_username_password_authentication_system

user information(including username and password) management system. New user can create an account if it doesn’t conflict with any existing one while exisiting user can return to the system using his username and password. A suggested outline of the program is as below:

root-cause-analysis

Failure Root Cause Analysis