💻 Decoding ML articles hub: Hands-on articles with code on production-grade ML

Open source documentation of Microsoft Azure

Images to inference with no labeling (use foundation models to train supervised models).

🤖 LLM Twin FREE Course: Building Your Production-Ready AI Replica | An End-to-End Framework for Production-Ready LLM Systems by Building Your LLM Twin | WIP...

🦖 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

AI Vector Database for LLMs/LangChain. Doubles as a Data Lake for Deep Learning. Store, query, version, & visualize any data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai

This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Build a Fullstack AI Chatbot with Redis, React, FastAPI and GPT

A declarative, efficient, and flexible JavaScript library for building user interfaces.

WebRTC Web demos and samples

The Python micro framework for building web applications.

yolov3 with mobilenetv2 and efficientnet

Deep Learning GPU Training System

Tensorflow Backend for ONNX

This project purpose is convert voc annotation xml file to yolo-darknet training file format

Download Datasets and Ground Truths: https://github.com/TuSimple/tusimple-benchmark/issues/3

PyTorch implementation for 3D Bounding Box Estimation Using Deep Learning and Geometry

Code for 3D object detection for autonomous driving

3D Object Detection for Autonomous Driving in PyTorch, trained on the KITTI dataset.

Python bindings to the pointcloud library (pcl)

3D Bounding Box Estimation Using Deep Learning and Geometry (MultiBin)