moudgalyakvs Goto Github PK

a-case-study-on-1994-us-income-census-data-

The dataset has been taken from the famous UCI Machine Learning Repository. Extraction was done by Barry Becker from the 1994 Census database. The dataset is set for a prediction task to determine whether a person makes over $50,000/year.

ab-testing-3_marketing_campaigns

Marketing Campaigns A/B Testing on Jupyter Notebook

adversarial-deep-learning-tutorial

This is a collection of algorithms and approaches used in the book adversarial deep learning

ai_all_resources

A curated list of Best Artificial Intelligence Resources

akash_kaul_using-scispacy-for-named-entity-recognition

A beginner's guide to using Named-Entity Recognition for data extraction from biomedical literature

allenai_scispacy

A full spaCy pipeline and models for scientific/biomedical documents.

awesome-diffusion-models

A collection of resources and papers on Diffusion Models

awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

bostonprediction1

Contains the Boston House Price prediction

budget-optimization_lpp_supply_chain

Automate Budget Planning with Linear Programming

count_encoding_handling_multilabel_categorical-vars

cs224u

Code for Stanford XCS224U: Natural Language Understanding

ddp_examples

DDP tutorial examples. A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

decagon-for-polypharmacy-side-effects

Graph convolutional neural network for multirelational link prediction

deployment_iris_akash

diffusers_huggingface

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

digital-marketing-analytics_mmm

This contains projects based on Algorithmic Marketing like Marketing Mix Modeling, Attribution Modeling & Budget Optimization, RFM Analysis, Customer Segmentation, Recommendation Systems, and Social Media Analytics

drug-drug-interaction-prediction

DDI Prediction Based on Knowledge Graph Embeddings and Convolutional-LSTM Network

drug-interactions-network-analysis-and-visualization

Network analysis and visualization of drug-drug interactions with NetworkX and Pyvis

economics_market-mix-modelling

This repository contains the code and explanation for market mix modelling technique in economics

efficient-attention

An implementation of the efficient attention module.

eleckart_budget-optimization-in-ecommerce-using-market-mix-modelling

To create a market mix model for ElecKart (an e-commerce firm from Ontario, Canada) for several products categories - to observe the actual impact of various marketing variables over the past and recommend the optimal budget allocation for different marketing levers for the next year. Built several Linear Regression models like Additive, Multiplicative, Koyck & Distributive Lag to identify the important KPIs that influence the company revenue and their contributions towards the revenue. The main data set is available below:

facebook-ad-conversion-prediction-and-budget-optimization

Predicting and optimizing conversions from social media campaigns

gan_ml_collection_aladdin_persson

A resource for learning about Machine learning & Deep Learning

graph-analysis-with-networkx

:sparkler: Network/Graph Analysis with NetworkX in Python. Topics range from network types, statistics, link prediction measures, and community detection.

graphml-harvard-tutorials

Tutorials for Machine Learning on Graphs by Marinka Zitnik lab

guided-diffusion_openai

hand_gesture_recognition_for_remote_controls

horovod_for_distributed-training

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

huggingface_diffusers_notebooks

Notebooks using the Hugging Face libraries 🤗