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…

Solve puzzles. Learn CUDA.

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑‍🔬

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.

Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models l…

tiny vision language model

Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

Code Repository for Machine Learning with PyTorch and Scikit-Learn

Prompt Engineering | Prompt Versioning | Use GPT or other prompt based models to get structured output. Join our discord for Prompt-Engineering, LLMs and other latest research

Learn how to design, develop, deploy and iterate on production-grade ML applications.

Jupyter Notebooks to help you get hands-on with Pinecone vector databases

Material for gpu-mode lectures

📚 Jupyter notebook tutorials for OpenVINO™

Grounded SAM 2: Ground and Track Anything in Videos with Grounding DINO, Florence-2 and SAM 2

In this project, I explored how local LLMs can be used to label data and support analyses. Specifically, I used Llama2 model to automatically categorise my bank transaction data.

YOLOv8 Object Tracking using PyTorch, OpenCV and DeepSORT

This repository contains a comprehensive computer vision/machine learning football project that uses YOLO for object detection, Kmeans for pixel segmentation, optical flow for motion tracking, and …

Jupyter code notebooks of "ChatGPT Prompt Engineering for Developers" by DeepLearning.AI and OpenAI.

MoMA: Multimodal LLM Adapter for Fast Personalized Image Generation

✨ Experience the enchantment of Story Blocks: an open-source project merging AI text generation and image synthesis to create captivating video narratives. 📚🎥 Watch as your text prompts come to lif…

A Retrieval-Augmented Generation (RAG) application for querying legal documents. It uses PostgreSQL, Elasticsearch, and LLM to provide summaries and suggestions based on user queries. Features data…

Sign Language Alphabet Detection and Recognition using YOLOv8

Tracking Snooker balls with Python

Covid-19 vs Pneumo Xray Detection using TensorFlow

Find the implementation of Computer vision-based projects with Python, Deep Learning, and OpenCV

Apply any texture to an image without changing the colors of its content

AskFAST is a chat bot designed to handle admission-related queries for FAST. It’s your go-to AI assistant for all things admission at FAST, making the process smooth and straightforward. Check out …