Pinned Repositories
Awesome-LLM
Awesome-LLM: a curated list of Large Language Model
basic_multimodal_rag
build-and-deploy-real-time-feature-pipeline
Develop and deploy a real-time feature pipeline in Python, using Bytewax ๐ and Hopsworks Feature Store.
diffusers
๐ค Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
hands-on-llms
๐ฆ ๐๐ฒ๐ฎ๐ฟ๐ป about ๐๐๐ ๐, ๐๐๐ ๐ข๐ฝ๐, and ๐๐ฒ๐ฐ๐๐ผ๐ฟ ๐๐๐ for free by designing, training, and deploying a real-time financial advisor LLM system ~ ๐ด๐ฐ๐ถ๐ณ๐ค๐ฆ ๐ค๐ฐ๐ฅ๐ฆ + ๐ท๐ช๐ฅ๐ฆ๐ฐ & ๐ณ๐ฆ๐ข๐ฅ๐ช๐ฏ๐จ ๐ฎ๐ข๐ต๐ฆ๐ณ๐ช๐ข๐ญ๐ด
ICLR2023_Workshop
LLMS_Library_2023
LLM_library is a comprehensive repository serves as a one-stop resource hands-on code, insightful summaries.
Machine-Learning-for-Imbalanced-Data
Machine Learning for Imbalanced Data, published by Packt
ML-Papers-of-the-Week
๐ฅHighlighting the top ML papers every week.
toxic_comment_classification
rashmimarganiatgithub's Repositories
rashmimarganiatgithub/LLMS_Library_2023
LLM_library is a comprehensive repository serves as a one-stop resource hands-on code, insightful summaries.
rashmimarganiatgithub/Awesome-LLM
Awesome-LLM: a curated list of Large Language Model
rashmimarganiatgithub/hands-on-llms
๐ฆ ๐๐ฒ๐ฎ๐ฟ๐ป about ๐๐๐ ๐, ๐๐๐ ๐ข๐ฝ๐, and ๐๐ฒ๐ฐ๐๐ผ๐ฟ ๐๐๐ for free by designing, training, and deploying a real-time financial advisor LLM system ~ ๐ด๐ฐ๐ถ๐ณ๐ค๐ฆ ๐ค๐ฐ๐ฅ๐ฆ + ๐ท๐ช๐ฅ๐ฆ๐ฐ & ๐ณ๐ฆ๐ข๐ฅ๐ช๐ฏ๐จ ๐ฎ๐ข๐ต๐ฆ๐ณ๐ช๐ข๐ญ๐ด
rashmimarganiatgithub/ICLR2023_Workshop
rashmimarganiatgithub/diffusers
๐ค Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
rashmimarganiatgithub/Machine-Learning-for-Imbalanced-Data
Machine Learning for Imbalanced Data, published by Packt
rashmimarganiatgithub/ML-Papers-of-the-Week
๐ฅHighlighting the top ML papers every week.
rashmimarganiatgithub/toxic_comment_classification
rashmimarganiatgithub/build-and-deploy-real-time-feature-pipeline
Develop and deploy a real-time feature pipeline in Python, using Bytewax ๐ and Hopsworks Feature Store.
rashmimarganiatgithub/cd0385-exercise-files
rashmimarganiatgithub/cd0385-project-starter
rashmimarganiatgithub/certificates
rashmimarganiatgithub/Data-Science-Interview-Questions-Answers
Curated list of data science interview questions and answers
rashmimarganiatgithub/detect_plantvillage_disease
rashmimarganiatgithub/Getting-Started-with-Generative-AI
A curated list of articles and tutorials to start with and understand generative AI
rashmimarganiatgithub/guidance
A guidance language for controlling large language models.
rashmimarganiatgithub/Kaggle-Computer-Vision-Competitions-List
List of Kaggle competitions in the field of Computer Vision
rashmimarganiatgithub/KAGGLE_NOTEBOOKS
To keep track of my work.
rashmimarganiatgithub/kaggle_rsna2019_3rd_solution
rashmimarganiatgithub/langchainprojects
sample projects on langchain
rashmimarganiatgithub/LLM_Project_Demo
rashmimarganiatgithub/LYFT2020
rashmimarganiatgithub/ML_Ops_Series_tutorial
rashmimarganiatgithub/ml_things
This is where I put things I find useful that speed up my work with Machine Learning. Ever looked in your old projects to reuse those cool functions you created before? Well, this repo is designed to be a Python Library of functions I created in my previous project that can be reused. I also share some Notebooks Tutorials and Python Code Snippets.
rashmimarganiatgithub/nd009t-c1-intro-to-ml-templates
rashmimarganiatgithub/normality-test
This repro contains data and notebook related to blog post of drift
rashmimarganiatgithub/rashmimarganiatgithub
Config files for my GitHub profile.
rashmimarganiatgithub/testing_deployment_case
Just for testing
rashmimarganiatgithub/transformers
A collection of resources to study Transformers in depth.
rashmimarganiatgithub/uptrain
Your open-source LLM evaluation toolkit. Get scores for factual accuracy, context retrieval quality, tonality, and many more to understand the quality of your LLM applications