Lovemeisa

tytan-grendel

Trial OSS for QUBO-meta-expression, fork from tytansdk/tytan

digital-display-character-rec

tessdata_ssd

Tesseract 4 traineddata for recognizing Seven Segment Display

display_ocr

Real-time image preprocess and OCR.

MRL

Code repository for the paper - "Matryoshka Representation Learning"

wikipedia-japanese-open-rag

Wikipediaの日本語記事を元に、ユーザの質問に回答するGradioベースのRAGのサンプル

rag-fusion

SegoDec

Simple, reliable seven-segment OCR using OpenCV

LCD-OCR

This is a tesseract based OCR to read from seven segment display.

seven-segment-ocr

Digitizes numbers from videos & images of seven segment displays

JapaneseEmbeddingEval

autoware

Autoware - the world's leading open-source software project for autonomous driving

RAG-query-rewriting

ginza

A Japanese NLP Library using spaCy as framework based on Universal Dependencies

devbox

Instant, easy, and predictable development environments

CSPostgraduate-408

💯 CSPostgraduate 计算机考研 408 专业课资料及真题资源

cskaoyan

提供计算机考研和软件工程考研专业的各个学校 考研真题

eruption

Realtime RGB LED Driver for Linux

YOLOP

You Only Look Once for Panopitic Driving Perception.（MIR2022）

lanenet-lane-detection

Unofficial implemention of lanenet model for real time lane detection

awesome-lane-detection

A paper list of lane detection.

Ultra-Fast-Lane-Detection-v2

Ultra Fast Deep Lane Detection With Hybrid Anchor Driven Ordinal Classification (TPAMI 2022)

Ultra-Fast-Lane-Detection

Ultra Fast Structure-aware Deep Lane Detection (ECCV 2020)

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

mml-book.github.io

Companion webpage to the book "Mathematics For Machine Learning"

monodepth2

[ICCV 2019] Monocular depth estimation from a single image

litellm

Call all LLM APIs using the OpenAI format. Use Bedrock, Azure, OpenAI, Cohere, Anthropic, Ollama, Sagemaker, HuggingFace, Replicate (100+ LLMs)

ZoeDepth

Metric depth estimation from a single image

APE

[CVPR 2024] Aligning and Prompting Everything All at Once for Universal Visual Perception

sahi

Framework agnostic sliced/tiled inference + interactive ui + error analysis plots