xinrt,Xinran Tang,github

Hi there 👋

Hi, I'm Xinran Tang 😉

Current Status Quo

👨🏻‍💻 I’m a master student at NYU Tandon School of Engineering major in CE from 2022 to 2024.
🌱 I’m currently learning C, Python, VHDL/Verilog, HLS.
✨ My research interests are with Machine Learning, Cyber Security, Trustworthy Hardware, etc.
💬 Ask me about anything, I would like to answer.
📫 Please email via [email protected] to reach me.

💼 I’m pursuing a Ph.D. degree or R.A. position.

Xinran Tang's Projects

awesome-llm-robotics

A comprehensive list of papers using large language/multi-modal models for Robotics/RL, including papers, codes, and related websites

awesome-profile-readme-templates

A collection of awesome readme templates to display on your profile

FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, FEDML Nexus AI (https://nexus.fedml.ai) is the dedicated cloud service for next-gen AI

gazebo_ros2_control_humble

Wrappers, tools and additional API's for using ros2_control with Gazebo Classic

leetcode_cpp_bazel

using bazel as the tool chain

rlhf_example

Reproduction of OpenAI and DeepMind's "Deep Reinforcement Learning from Human Preferences"

ros_implementation

Learn from: http://wiki.ros.org/ROS/Tutorials

tensorrt-llm

TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.