thirumalahcu Goto Github PK

100-days-of-ml-code

100 Days of ML Coding

100-days-of-python-code

The complete python recap and practice in 100 days

advanced-deep-learning-with-keras

Advanced Deep Learning with Keras, published by Packt

amazon-sagemaker-examples

Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker

awesome-generative-ai

A curated list of Generative AI tools, works, models, and references

awesome-generative-ai-guide

A one stop repository for generative AI research updates, interview resources, notebooks and much more!

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

awesome-python-projects

📱 ✅ Some awesome projects in python! 📱 ✅

books

This repository is a collection of famous books that a person who has keen to learn programming, should go through in his career.

dat5

General Assembly's Data Science course in Washington, DC

dat8

General Assembly's Data Science course in Washington, DC

data-science--cheat-sheet

Cheat Sheets

datasciencecoursera

datasharing

The Leek group guide to data sharing

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deepwater

Deep Learning in H2O using Native GPU Backends

exdata_plotting1

Plotting Assignment 1 for Exploratory Data Analysis

face-recognition

Face recognition and its application as attendance system

google-cloud-python

Google Cloud Client Library for Python

grape

🍇 GRAPE is a Rust/Python Graph Representation Learning library for Predictions and Evaluations

graph-neural-networks-in-life-sciences

graph-summit-apac-2023

graph_powered_ml_workshop

Material and Notebooks for the Graph Powered ML Workshop.

h2o-3

Open Source Fast Scalable Machine Learning API For Smarter Applications (Deep Learning, Gradient Boosting, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA...)

h2o-meetups

Presentations from H2O meetups & conferences by the H2O.ai team

h2o-tutorials

Tutorials and training material

handson-ml2

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.

hello-world

ipython_d3_js_demo

demo video on how to mbed a d3js example into IPython

local-llms-analyse-finance

In this project, I explored how local LLMs can be used to label data and support analyses. Specifically, I used Llama2 model to automatically categorise my bank transaction data.