zhangningboo Goto Github PK

a-loam

Advanced implementation of LOAM

a_tour_of_cpp

annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

argus_camera

Simple Python / C++ interface to CSI camera connected to NVIDIA Jetson.

auto-gpt

An experimental open-source attempt to make GPT-4 fully autonomous.

buildopencv

Scripts for build OpenCV on the NVIDIA Jetson Nano Developer Kit

chatglm_scratch

cicvedu-rust-rustlings

co-tracker

CoTracker is a model for tracking any point (pixel) on a video.

code

codegeex

CodeGeeX: An Open Multilingual Code Generation Model (KDD 2023)

codegeex-vscode-extension

VS Code extension for CodeGeeX

cs230-code-examples

Code examples in pyTorch and Tensorflow for CS230

cserialport

CSerialPort - lightweight cross-platform serial port library for C/C++/C#/Java/Python/Node.js

cv_tool

d2l-v2

deep_learning_notes

deeplearning-models

A collection of various deep learning architectures, models, and tips

depot_tools

detection-pytorch-notebook

代码 -《深度学习之PyTorch物体检测实战》

dockerfiles

embedding

Learning

fastchat

The release repo for "Vicuna: An Open Chatbot Impressing GPT-4"

fastsam

Fast Segment Anything

fontit

groundingdino

Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

hadar

This is an LWIR stereo-hyperspectral database to develop HADAR algorithms for thermal navigation. Based on this database, one can develop algorithms for TeX decomposition to generate TeX vision. One can also develop algorithms about object detection, semantic or scene segmentation, optical or scene flow, stereo depth etc. based on TeX vision instea

hands-on-ml

https://hml.boyuai.com

head_first

Head First设计模式

hello-algo

《Hello 算法》：动画图解、一键运行的数据结构与算法教程，支持 Python, C++, Java, C#, Go, Swift, JS, TS, Dart, Rust, C, Zig 等语言。English edition ongoing