SaiJeevanPuchakayala
π Budding Solopreneur | π‘ AI/ML Consultant | π― MLOps Maestro | π Unleashing Gen AI for Next-Gen [GenZ & GenΞ±] Solutions | β¨ XAI & Responsible AI Advocate
@bottomstreet @RedCarpetUp @SustainableLivingLabKhammam, Telangana, India
SaiJeevanPuchakayala's Stars
WZMIAOMIAO/deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
GokuMohandas/Made-With-ML
Learn how to design, develop, deploy and iterate on production-grade ML applications.
visenger/awesome-mlops
A curated list of references for MLOps
mlabonne/llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
brianlovin/briOS
My personal website.
ghimiresunil/LLM-PowerHouse-A-Curated-Guide-for-Large-Language-Models-with-Custom-Training-and-Inferencing
LLM-PowerHouse: Unleash LLMs' potential through curated tutorials, best practices, and ready-to-use code for custom training and inferencing.
Nutlope/roomGPT
Upload a photo of your room to generate your dream room with AI.
vxsahu/gitagpt
Gita GPT A personal productivity assistant (RAG), a platform of AI chatbots, Ask Krishna GPT that uses Bhagavad Gita references to answer your questions.
facebookresearch/detectron2
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
anoopkunchukuttan/indic_nlp_library
Resources and tools for Indian language Natural Language Processing
AileenNielsen/TimeSeriesAnalysisWithPython
MichaelCade/90DaysOfDevOps
This repository started out as a learning in public project for myself and has now become a structured learning map for many in the community. We have 3 years under our belt covering all things DevOps, including Principles, Processes, Tooling and Use Cases surrounding this vast topic.
LiYangHart/Hyperparameter-Optimization-of-Machine-Learning-Algorithms
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
eriklindernoren/ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
commit-live-students/Data_Science_Masters_Program_2021
bregman-arie/devops-exercises
Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
afshinea/stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
OmkarPathak/python-github-projects
Collect and classify python projects on Github
BhanuPrakashNani/Image_Processing
Image Processing techniques using OpenCV and Python.