lengjia Goto Github PK

anyplace

A free and open Indoor Navigation Service with superb accuracy!

automl_for_approximate_computing

This ia a project that apply AutoML for general purpose approximate computing

awesome-autodl

A curated list of automated deep learning (including neural architecture search and hyper-parameter optimization) resources.

awesome-automl-papers

A curated list of automated machine learning papers, articles, tutorials, slides and projects

awesome-blockchain

区块链白皮书、书籍、交易所、币种、自媒体等资源汇总 💯

awesome-system-for-machine-learning

A curated list of research in machine learning system. I also summarize some papers if I think they are really interesting.

basic-simd-processor-verilog-tutorial

Implementation of a simple SIMD processor in Verilog, core of which is a 16-bit SIMD ALU. 2's compliment calculations are implemented in this ALU. The ALU operation will take two clocks. The first clock cycle will be used to load values into the registers. The second will be for performing the operations. 6-bit opcodes are used to select the functions. The instruction code, including the opcode, will be 18-bit.

cartographer

Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.

chen_nas

searching neural network

crazyflie-tools

A collection of tools to develop controllers for the Crazyflie using Drake

deepchem

Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

elevation_mapping

Robot-centric elevation mapping for rough terrain navigation

far-ho

Gradient based hyperparameter optimization & meta-learning package for TensorFlow

generate_kernel_uboot_project_foride

Generate filelist and slickedit for the compiled source file and depend header file for Linux Kernel and U-boot

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

kfac_pytorch

lamcts

The release codes of LA-MCTS with its application to Neural Architecture Search.

lengjia.github.io

This is the source files of my personal website where record my notes, ideas, thinkings

meta-learning-papers

Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning

mpu6050forstm32

MPU6050ForStm32

nas_npu

for train the nas_npu

ncsdk

Software Development Kit for the Neural Compute Stick

perf-tools

A collection of performance analysis tools, recipes, handy scripts, microbenchmarks & more

pythonpackage

qlib

Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies.

ros-hydro-slam

几种主要的SLAM方法（Libviso,SVO,PTAM）在ROS-Hydro平台下的实现

rrl

Code for paper Swift Machine Learning Model Serving Scheduling: A Region Based Reinforcement Learning Approach

rt-thread-quadcopter

stm32f401re-nucleo

scipy-lecture-notes-zh-cn

中文版scipy-lecture-notes. 网站下线, 以离线HTML的形式继续更新, 见release.

slambook