Peter Schafhalter
pschafhalter
PhD Student at UC Berkeley RISELab @ucbrise. Working on systems for self-driving cars @erdos-project.
Languages
Repos
42
Stars
10
Forks
4
Top Language
Python
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Top Repositories
Generic B+ tree implementation in Python
Autonomous driving platform running on the CARLA simulator
Frame-by-frame encoding and decoding of videos using H264
Proof of concept for advanced scheduling of rich tasks on a Rust async runtime.
Repositories
42No description provided.
Autonomous driving platform running on the CARLA simulator
Frame-by-frame encoding and decoding of videos using H264
Implementation of "MotionCNN: A Strong Baseline for Motion Prediction in Autonomous Driving" for Waymo Open Motion Dataset
MTR: Motion Transformer with Global Intention Localization and Local Movement Refinement, NeurIPS 2022.
No description provided.
detrex is a research platform for Transformer-based Object Detection algorithms including DETR (ECCV 2020), Deformable-DETR (ICLR 2021), Conditional-DETR (ICCV 2021), DAB-DETR (ICLR 2022), DN-DETR (CVPR 2022), DINO (arXiv 2022), H-DETR (arXiv 2022), MaskDINO (arXiv 2022), etc.
Generic B+ tree implementation in Python
No description provided.
Benchmark performance of patterns used in ERDOS atop tokio
No description provided.
Fast web applications through dynamic, partially-stateful dataflow
Rust bindings for the Python interpreter
A runtime for writing reliable asynchronous applications with Rust. Provides I/O, networking, scheduling, timers, ...
Unofficial implemention of lanenet model for real time lane detection using deep neural network model https://maybeshewill-cv.github.io/lanenet-lane-detection/
No description provided.
Proof of concept for advanced scheduling of rich tasks on a Rust async runtime.
Website
My website
Implementations of word count in various languages.
Visualizes asynchronous autonomous driving models on Ray
No description provided.
No description provided.
Airspeed Velocity: A simple Python benchmarking tool with web-based reporting
FLUIDS is a lightweight driving simulator for benchmarking Deep Reinforcement and Imitation learning algorithms.
A high-performance distributed execution engine
Modin: Pandas on Ray - Make your pandas code faster by changing one line of code
Apache Arrow is a cross-language development platform for in-memory data. It specifies a standardized language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware. It also provides computational libraries and zero-copy streaming messaging and interprocess communication. Languages currently supported include C, C++, Java, JavaScript, Python, and Ruby.
No description provided.
A self-driving car simulator built with Unity