A straightforward method for training your LLM, from downloading data to generating text.

📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG

A collection of 500+ real-world ML & LLM system design case studies from 100+ companies. Learn how top tech firms implement GenAI in production.

The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs

OpenAI API + Ruby! 🤖❤️ GPT-5 & Realtime WebRTC compatible!

📊 Benchmark multiple object trackers (MOT) in Python

Links for music + machine learning

Workshop content for applying DevOps practices to Machine Learning workloads using Amazon SageMaker

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

Data science interview questions and answers

🏅 Collection of Kaggle Solutions and Ideas 🏅

Repository for the paper "Monocular 3D Vehicle Detection Using Uncalibrated Traffic Camerasthrough Homography"

BoxMOT: Pluggable Python and C++ SOTA multi-object tracking modules with support for axis-aligned and oriented bounding boxes

Orchestrating an Application Process with AWS Batch using AWS CloudFormation

Repo with resources to pass the AWS ML Specialty exam

SOTA Re-identification Methods and Toolbox

Object tracking implemented with YOLOv4, DeepSort, and TensorFlow.

A guide to AWS Machine Learning Certified - Speciality

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.

The full minitorch student suite.

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

SiamMOT: Siamese Multi-Object Tracking

Joint Detection and Embedding for fast multi-object tracking

C++ implementation of semi-automatic camera calibration based on Perspective-n-Point (PnP)

Simultaneous object detection and tracking using center points.