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Stars
Cross-platform backup tool for Windows, macOS & Linux with fast, incremental backups, client-side end-to-end encryption, compression and data deduplication. CLI and GUI included.
Wan: Open and Advanced Large-Scale Video Generative Models
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.
Demos for "Linear Algebra for DS, ML, and SP" book
All Algorithms implemented in Python
This repository serves as a collection of research notes and resources on training large language models (LLMs) and Reinforcement Learning from Human Feedback (RLHF). It focuses on the latest resea…
This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
This repo implements and trains Vision Transformer (VIT) on a synthetically generated dataset which has colored mnist images on texture backgrounds
Keras implementation of a 2D/3D U-Net with Additive Attention, Inception, and Recurrence functions provided
image scaling attacks for multi-modal prompt injection
Tool for robust segmentation of >100 important anatomical structures in CT and MR images
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
Documenting my python implementation of Andrew Ng's Machine Learning course
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…