DsGhostPos3idon's repositories
pytorch_tutorials
Beginner Level Deep Learning Tutorials in Pytorch with Youtube Videos!
vertex-ai-samples
Sample code and notebooks for Vertex AI, the end-to-end machine learning platform on Google Cloud
ML-zoomcamp
Homework code from the ML Zoomcamp course
kaggle-qa-challenge-starter
The getting started notebook for the DTC Zoomcamp Q&A challenge
IBM-AI-Engineering-Professional
IBM AI Engineering Professional Certificate by Coursera.
phoenix
AI Observability & Evaluation - Evaluate, troubleshoot, and fine tune your LLM, CV, and NLP models in a notebook.
Azure-Analytics-and-AI-Engagement
Azure Analytics and AI Engagement
Olive
Olive is an easy-to-use hardware-aware model optimization tool that composes industry-leading techniques across model compression, optimization, and compilation.
ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
machine-learning-zoomcamp
The code from the Machine Learning Bookcamp book and a free course based on the book
LMOps
General technology for enabling AI capabilities w/ LLMs and MLLMs
DataCamp2
This repo includes all exercises for courses and projects that I have finished on datacamp.
Kaggle
Kaggle Kernels (Python, R, Jupyter Notebooks)
tutorials_python
python jupyter notebook tutorials
Machine-Learning-Data-Science-and-Generative-AI-with-Python
Code Repository for Machine Learning, Data Science and Generative AI with Python, Published by Packt
NLP-for-Practitioners-with-Elastic
NLP for Practitioners with Elastic, published by Packt
udacitys
Projects I implemented to finish Udacity Nanodegree Programs from Data Engineering to Machine Learning Engineering.
recommenders
Best Practices on Recommendation Systems
Large-Language-Model-Notebooks-Course
Practical course about Large Language Models.
large-language-models
Notebooks for Large Language Models (LLMs) Specialization
Interpretable-Machine-Learning-with-Python-2E
Interpretable ML with Python, 2E - published by Packt
causalml
Uplift modeling and causal inference with machine learning algorithms
Dash-by-Plotly
Interactive data analytics
Merlin
NVIDIA Merlin is an open source library providing end-to-end GPU-accelerated recommender systems, from feature engineering and preprocessing to training deep learning models and running inference in production.
mistat-code-solutions
Code repository for "Modern Statistics: A Computer Based Approach with Python" and "Industrial Statistics: A Computer Based Approach with Python"
LLM_course_part_1
Course notebooks and all the code for the first LLM course.