Kwabena16108

Kwabena16108's Stars

• Future-House/paper-qa

  High accuracy RAG for answering questions from scientific documents with citations

  Language:Python6.4k604

• Apress/applied-analytics-case-studies-sas-r

  Source Code for 'Applied Analytics through Case Studies Using SAS and R' by Deepti Gupta

  1113

• raymondhfeng/Algorithms_DPV_Solutions

  My solutions for Algorithms by Dasgupta, Papadimitriou, and Vazirani

  Language:TeX17941

• opethe1st/Algorithms-by-S.Dasgupta

  Attempts to solve exercises and implementation of algorithms from Algorithms by S.Dasgupta et al.

  Language:Python10022

• ml-explore/mlx

  MLX: An array framework for Apple silicon

  Language:C++17.2k993

• PacktPublishing/Machine-Learning-for-Time-Series-with-Python

  Machine Learning for Time-Series with Python.Published by Packt

  Language:Jupyter Notebook264159

• PacktPublishing/Graph-Machine-Learning

  Graph Machine Learning, published by Packt

  Language:Jupyter Notebook265142

• multipolarityai/bankruns

  an ABM model of a Bank run

  Language:Python1

• motiwari/BanditPAM

  BanditPAM C++ implementation and Python package

  Language:C++64738

• twitter/the-algorithm-ml

  Source code for Twitter's Recommendation Algorithm

  Language:Python10.1k2.2k

• databrickslabs/dolly

  Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform

  Language:Python10.8k1.2k

• PacktPublishing/Network-Science-with-Python

  Network Science with Python, published by Packt

  Language:Jupyter Notebook3027

• uchidalab/vary_length_time_series

  Language:Python31

• uchidalab/dtw-features-ucr

  Time series classification using local distance-based features in multi-modal fusion networks

  Language:Python41

• uchidalab/DynamicDA-with-GatingNetworks

  ICPR2022: Dynamic Data Augmentation with Gating Networks for Time Series Recognition

  Language:Python111

• uchidalab/time_series_augmentation

  An example of time series augmentation methods with Keras

  Language:Jupyter Notebook33669

• PawaritL/BayesianLSTM

  Bayesian LSTM Implementation in PyTorch

  Language:Jupyter Notebook9520

• quantgirluk/aleatory

  📦 Python library for Stochastic Processes Simulation and Visualisation

  Language:Python16115

• msuzen/looper

  A resource list for causality in statistics, data science and physics

  25534

• nhsx/SynthVAE

  Synthetic data generation by a Variational AutoEncoder with Differential Privacy assessed using Synthetic Data Vault metrics

  Language:Python4410

• google/latexify_py

  A library to generate LaTeX expression from Python code.

  Language:Python7.2k385

• AmmarRashed/EventOrient

  A web-based application for monitoring, analyzing and visualizing social networks of Istanbul Sehir University

  Language:Jupyter Notebook62

• CambridgeUniversityPress/FirstCourseNetworkScience

  Tutorials, datasets, and other material associated with textbook "A First Course in Network Science" by Menczer, Fortunato & Davis

  Language:Jupyter Notebook366179

• vinyluis/Articles

  References to the Medium articles

  Language:Jupyter Notebook8572

• valerielimyh/Managing_credit_risk

  Language:Jupyter Notebook1

• valerielimyh/Anomaly_detection

  Language:Jupyter Notebook1

• repogit44/moview_review_sentiment_prediction_neural_network

  Sentiment analysis of movie reviews dataset using neural networks to predict sentiment from text

  Language:Jupyter Notebook1

• repogit44/neural-networks-and-deep-learning

  Code samples for my book "Neural Networks and Deep Learning"

  Language:Python1

• repogit44/DeepLearningForNLPInPytorch

  An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.

  Language:Jupyter Notebook1

• repogit44/gt-nlp-class

  Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"

  Language:Jupyter Notebook1