Vinayak Shanawad's repositories
AI-ML-Projects
AWS SageMaker, SeldonCore, KServe, Kubeflow & MLflow, VectorDB
mlbookcamp-code
The code from the Machine Learning Bookcamp book and a free course based on the book
accelerate
🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision
awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
awesome-public-datasets
A topic-centric list of HQ open datasets.
AWS-SM-Examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
BERTopic
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
data-science-on-aws
AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker
datatableton
100 datatable exercises
DeepLearningExamples
Deep Learning Examples
diagrams
:art: Diagram as Code for prototyping cloud system architectures
hands-on-llms
🦖 𝗟𝗲𝗮𝗿𝗻 about 𝗟𝗟𝗠𝘀, 𝗟𝗟𝗠𝗢𝗽𝘀, and 𝘃𝗲𝗰𝘁𝗼𝗿 𝗗𝗕𝘀 for free by designing, training, and deploying a real-time financial advisor LLM system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 𝘷𝘪𝘥𝘦𝘰 & 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴
hugging-face-emily-webber
A 90-minute hands on workshop about Hugging Face on SageMaker.
huggingface-sagemaker-workshop-series
Enterprise Scale NLP with Hugging Face & SageMaker Workshop series
machine-learning-engineering-for-production-public
Public repo for DeepLearning.AI MLEP Specialization
notebooks
Notebooks using the Hugging Face libraries 🤗
ollama
Get up and running with Llama 2, Mistral, Gemma, and other large language models.
Python
All Algorithms implemented in Python
Python-1
My Python Examples
python-docs-samples
Code samples used on cloud.google.com
python-tutorial
A Python 3 programming tutorial for beginners.
scikit-learn-mooc
scikit-learn-mooc
sm-bnb-transformers
Transformers with bitsandbytes on SageMaker
Styleformer
A Neural Language Style Transfer framework to transfer natural language text smoothly between fine-grained language styles like formal/casual, active/passive, and many more. Created by Prithiviraj Damodaran. Open to pull requests and other forms of collaboration.
Tutorials
Jupyter Notebooks and other material from tutorial sessions on Machine Learning, Data Science, and related
wandb-course-edu
Educational materials on deep learning by Weights & Biases