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CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Code for Machine Learning for Algorithmic Trading, 2nd edition.
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
QLoRA: Efficient Finetuning of Quantized LLMs
Python toolkit for quantitative finance
Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion
Sweep: AI coding assistant for JetBrains
Using Low-rank adaptation to quickly fine-tune diffusion models.
🎓 无需编写任何代码即可轻松创建漂亮的学术网站 Easily create a beautiful academic résumé or educational website using Hugo and GitHub. No code.
🛠 All-in-one web-based IDE specialized for machine learning and data science.
🚀 Curated collection of Amazing Python scripts from Basics to Advance with automation task scripts.
Example notebooks for working with SageMaker Studio Lab. Sign up for an account at the link below!
A public release of TimelineBuilder for building personal digital data timelines.
Repository for coursera specialization Applied Data Science with Python by University of Michigan
This Jupyter Notebook condenses the Plotly API into one easy to use document with examples
Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.
Deploy Stable Diffusion Model on Amazon SageMaker Endpont
StableDiffusion experimentations
This repo contains a series of mini project swhere I pick up a dataset from Kaggle for each mini project and aim to analyse and preprocess the data, selecting a right algorithm to train the data on…
Visualization of COVID-19 data collected statewise from India