kelvinson Goto Github PK

bilibili_fork

bilibili后台源码

bonnet

Bonnet: An Open-Source Training and Deployment Framework for Semantic Segmentation in Robotics.

bookshelf

:books: books

bootcamp-examples

boundary-gp

Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features

brain-segmentation

Deep learning based skull stripping and FLAIR abnormality segmentation in brain MRI using U-Net

build-web-application-with-golang

A golang ebook intro how to build a web with golang

bullet3

Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

c-cpp-a

The homework and lecture code for UC Santa Cruz C Plus Plus for C Programmer course on Coursera

calibratedmodelbasedrl

Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.

carnd-path-planning-project

Create a path planner that is able to navigate a car safely around a virtual highway

catalyst

Reproducible and fast DL/RL.

cbam.pytorch

Non-official implement of Paper：CBAM: Convolutional Block Attention Module

centernet

Codes for our paper "CenterNet: Keypoint Triplets for Object Detection" .

class-central-spider

cloud_annotation_tool

L-CAS 3D Point Cloud Annotation Tool

clrs

:notebook:Solutions to Introduction to Algorithms

clrs-1

📚 Solutions to Introduction to Algorithms Third Edition

cluster

train on AWS

cmucomputationalphotography

Jupyter Notebooks for CMU Computational Photography Course 15.463

code-machine-learning

codebook

Reference material for ACM-ICPC

codinginterviews

剑指Offer——名企面试官精讲典型编程题

coinrun

Code for the paper "Quantifying Transfer in Reinforcement Learning"

compare_gan

compete_scratch

rewrite the previous competition training code from scratch

comprehensive-rust

This is the Rust course used by the Android team at Google. It provides you the material to quickly teach Rust.

computer-science

:mortar_board: Path to a free self-taught education in Computer Science!

controllablevideogen

Code for "Controllable Video Generation with Sparse Trajectories" in PyTorch

convnets-as-gps

Code for "Deep Convolutional Networks as shallow Gaussian Processes"