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adversarial-robustness-toolbox

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

awesome-llms-fine-tuning

Explore a comprehensive collection of resources, tutorials, papers, tools, and best practices for fine-tuning Large Language Models (LLMs). Perfect for ML practitioners and researchers!

bda_assignment-1

This is the assignment to run the Linux system on Windows by using the Docker/ Dockerhub

best-of-streamlit

🏆 A ranked gallery of awesome streamlit apps built by the community

complete-data-science

This repository contains everything you need to become proficient in Data Science

computer-science-

:mortar_board: Path to a free self-taught education in Computer Science!

course_certificates

cs-video-courses

List of Computer Science courses with video lectures.

d2l-en-ml-book

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge.

deeplearning.ai

Table of Contents 1 - Setup and Imports 2 - Load the Dataset 2.1 - Read and Split the Dataset 2.1.1 - Data Splits 2.1.2 - Label Column 3 - Generate and Visualize Training Data Statistics 3.1 - Removing Irrelevant Features Exercise 1 - Generate Training Statistics Exercise 2 - Visualize Training Statistics 4 - Infer a Data Schema Exercise 3: Infer the training set schema 5 - Calculate, Visualize and Fix Evaluation Anomalies Exercise 4: Compare Training and Evaluation Statistics Exercise 5: Detecting Anomalies Exercise 6: Fix evaluation anomalies in the schema 6 - Schema Environments Exercise 7: Check anomalies in the serving set Exercise 8: Modifying the domain Exercise 9: Detecting anomalies with environments 7 - Check for Data Drift and Skew 8 - Display Stats for Data Slices 9 - Freeze the Schema

developerfolio

🚀 Software Developer Portfolio Template that helps you showcase your work and skills as a software developer.

explore-and-grow

Explore and Grow is a collection of resources for individuals looking to further their personal and professional development. From career paths to personal growth, this repository offers a wide range of information, tips, and tools to help you achieve your goals. Whether you're just starting out or looking to take your skills to the next level

from-0-to-research-scientist-resources-guide

Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.

fullyresponsivewebsite

ibm-data-science-specialization-capstone-project

ipytone

Interactive audio in Jupyter based on Tone.js

kaggle-ii

large-language-models

Large language Models (LLM)

learn-python

📚 Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.

learn-python3

Jupyter notebooks for teaching/learning Python 3

learning-resources-

😎 Awesome lists about all kinds of interesting topics

linking

midjourney-ai

For AI Created Paintings

ml-papers-of-the-week

🔥Highlighting the top ML papers every week.

muhammed-imran

Config files for my GitHub profile.

must-resources-awesome-certificates

Curated list of 10,000+ hours and 100+ free certificates in IT, computer science and business.

palm-rlhf-pytorch

Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM

practicalai

A practical approach to learning machine learning.

project-based-learning

Curated list of project-based tutorials