Stars
Devkit and documentation for the NVIDIA Physical AI Autonomous Vehicles Dataset
Production-grade Rust-native trading engine with deterministic event-driven architecture
A financial agent for investment research
Open Data Platform for analysts, quants and AI agents.
Build your autonomous hedge fund in minutes. AutoHedge harnesses the power of swarm intelligence and AI agents to automate market analysis, risk management, and trade execution.
TradingAgents: Multi-Agents LLM Financial Trading Framework
PrimoGPT: Finance Reinforcement Learning and Natural Language Processing
Zipline, a Pythonic Algorithmic Trading Library
[CVPR 2023 Best Paper Award] Planning-oriented Autonomous Driving
[IEEE T-PAMI 2024] All you need for End-to-end Autonomous Driving
Self driving car lane and path detection
[ACM CSUR 2025] Understanding World or Predicting Future? A Comprehensive Survey of World Models
Training pipeline for end-to-end self-driving with Comma AI's Openpilot. WIP
Our insights of Openpilot, a deepdive project on it
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Implementation of Convolutional LSTM in PyTorch.
Multi-layer convolutional LSTM with Pytorch
Repository for precision tracking from 3D point clouds
A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input
VeloView performs real-time visualization and easy processing of live captured 3D LiDAR data from Velodyne sensors (Alpha Prime™, Puck™, Ultra Puck™, Puck Hi-Res™, Alpha Puck™, Puck LITE™, HDL-32, …
Piano-playing robot for Principles of Engineering, Olin College, Fall 2014
Real-Time Object Recognition App with Tensorflow and OpenCV
Stanford Code From Cars That Entered DARPA Grand Challenges
🚕 Fast and robust clustering of point clouds generated with a Velodyne sensor.
A framework for controlling, recording, training, and running a self driving robotic car. Focused now on an implementation that runs on 1/10th scale rc cars with pwm servo steering and ESC throttle…
A Keras port of Single Shot MultiBox Detector
Image augmentation for randomly rotating, shearing, translating and changing lighting conditions.
A deep learning framework for lung cancer prediction built with Lasagne/Theano
The Udacity open source self-driving car project