TradingAgents: Multi-Agents LLM Financial Trading Framework

🦐 Give your UUIDs nicknames your LLM can actually remember.

OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image genera…

Download market data from Yahoo! Finance's API

Multi-Object Tracking via DeepSORT

[ICCV'21] Learning Spatio-Temporal Transformer for Visual Tracking

MaskTrackRCNN for video instance segmentation based on mmdetection

keras implementation of Faster R-CNN

SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.

📺 Discover the latest machine learning / AI courses on YouTube.

Visual tracking library based on PyTorch.

📝A simple and elegant markdown editor, available for Linux, macOS and Windows.

🏅 Collection of Kaggle Solutions and Ideas 🏅

📝 Design doc template & examples for machine learning systems (requirements, methodology, implementation, etc.)

📈 A curated list of awesome data visualization libraries and resources.

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.

Sandbox for training deep learning networks

Fast and Accurate ML in 3 Lines of Code

Papers from the computer science community to read and discuss.

The open source version of the Amazon SageMaker docs

A library for training and deploying machine learning models on Amazon SageMaker

A Curated list of Awesome Python Scripts that Automate Stuffs.

A comprehensive list of books on Software Architecture.

System design patterns for machine learning

The best free and open-source automated time tracker. Cross-platform, extensible, privacy-focused.

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

A recipe of SageMaker Ground Truth Lambdas to be used for creating labeling jobs with custom task type

amazon-sagemaker-cdk-examples uses AWS CDK to simplify common architectures in machine leaning operations using Sagemaker and other AWS services.

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

 This project is dedicated to collecting high-quality macOS software and organizing them systematically by different categories for easy search and use.