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advanced-deep-learning-with-keras

Advanced Deep Learning with Keras, published by Packt

aif360

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

ajax-movie-recommendation-system-with-sentiment-analysis

Content-Based Recommender System recommends movies similar to the movie user likes and analyses the sentiments on the reviews given by the user for that movie.

alumni-sessions

All ALumni Session Content

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

applied-ml

📚 Papers & articles of companies sharing their work on applied data science & machine learning.

azureml-examples

Official community-driven Azure Machine Learning examples, tested with GitHub Actions.

beam

Apache Beam is a unified programming model for Batch and Streaming data processing.

building-data-science-applications-with-fastapi

Building Data Science Applications with FastAPI, Published by Packt

cadlab

Imaging Biomarkers and Computer-Aided Diagnosis Laboratory

carbon-tutorial-nextjs

Practice

chexnet-keras

This project is a tool to build CheXNet-like models, written in Keras.

clean-code-in-python

Clean Code in Python, published by Packt

continousmodeldeploy

This is code depository for my upcoming session. Will update details post the session

darts

data-science-question-answer

A repo for data science related questions and answers

databricks_ml_demo

deep-learning-with-fastai-cookbook

Deep Learning with fastai Cookbook, published by Packt

deeplearning-ai_llm_courses

demo_fastapi

deploying-machine-learning-models

Code for the online course "Deployment of Machine Learning Models"

deviation-network

Source code of the KDD19 paper "Deep anomaly detection with deviation networks", weakly/partially supervised anomaly detection, few-shot anomaly detection

dlaicourse

Notebooks for learning deep learning

elasticsearch-agent

ElasticSearch agent based on ElasticSearch, LangChain and ChatGPT 4

fastbook

Draft of the fastai book

get-things-done-with-prompt-engineering-and-langchain

LangChain & Prompt Engineering tutorials on Large Language Models (LLMs) such as ChatGPT with custom data. Jupyter notebooks on loading and indexing data, creating prompt templates, CSV agents, and using retrieval QA chains to query the custom data. Projects for using a private LLM (Llama 2) for chat with PDF files, tweets sentiment analysis.

gsdt

Official PyTorch implementation of "Joint Object Detection and Multi-Object Tracking with Graph Neural Networks"

hackerrankpractice

170+ solutions to Hackerrank.com practice problems using Python 3, С++ and Oracle SQL

hands-on-python-deep-learning-for-web

Hands-On Python Deep Learning for Web by Anubhav Singh and Sayak Paul

handson-ml3

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.