herolin12

@herolin12

herolin12 暂无简介

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    herolin12 / l5kit

    L5Kit - level5.lyft.com

    herolin12 / d2l-en

    Interactive deep learning book with code, math, and discussions. Available in multi-frameworks.

    herolin12 / python3-in-one-pic

    Learn python3 in one picture.

    herolin12 / nbpreview

    Render IPython/Jupyter notebooks without running a notebook server.

    herolin12 / DRL_Path_Planning

    This is a DRL(Deep Reinforcement Learning) platform built with Gazebo for the purpose of robot's adaptive path planning.

    herolin12 / Trajectron

    Code accompanying "The Trajectron: Probabilistic Multi-Agent Trajectory Modeling with Dynamic Spatiotemporal Graphs" by Boris Ivanovic and Marco Pavone.

    herolin12 / torch-residual-networks

    This is a Torch implementation of ["Deep Residual Learning for Image Recognition",Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun](http://arxiv.org/abs/1512.03385) the winners of the 2015 ILSVRC and COCO challenges.

    herolin12 / trajnetplusplusbaselines

    Baselines for TrajNet++

    herolin12 / serial

    Cross-platform, Serial Port library written in C++

    herolin12 / dart

    Dynamic Animation and Robotics Toolkit

    herolin12 / labml

    Organize PyTorch Experiments

    herolin12 / jetson-inference

    Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

    herolin12 / acme

    A library of reinforcement learning components and agents

    herolin12 / semantic-kitti-api

    SemanticKITTI API for visualizing dataset, processing data, and evaluating results.

    herolin12 / Pangolin

    Pangolin is a lightweight portable rapid development library for managing OpenGL display / interaction and abstracting video input.

    herolin12 / can-utils

    Linux-CAN / SocketCAN user space applications

    herolin12 / Trajectron-plus-plus

    Code accompanying "Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (* denotes equal contribution).

    herolin12 / vscode-bazel

    Bazel support for Visual Studio Code

    herolin12 / nuscenes-devkit

    The devkit of the nuScenes dataset.

    herolin12 / interpret

    Fit interpretable models. Explain blackbox machine learning.

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