CameraChessWeb
Pbatch
270スター
Record a chess game live and upload the PGN to Lichess
- Record: point your camera at the board and the moves are recorded as you play
- Upload: turn a video of a game into a PGN
機械学習 · GitHub
モデルの学習・評価・推論に使うフレームワークを探し、注目度を比較できます。
便利なGitHubプロジェクト
4,866 プロジェクト
pennylane-cirq
PennyLaneAI
65スター
The PennyLane-Cirq plugin integrates Google's Cirq software library with with PennyLane's quantum machine learning capabilities.
talking-head-anime-3-demo
pkhungurn
1,050スター
Demo Programs for the "Talking Head(?) Anime from a Single Image 3: Now the Body Too" Project
1,267スター
Replication of simple CV Projects including attention, classification, detection, keypoint detection, etc.
BD3-Dataset
Praveenkottari
40スター
This repository provides the BD3 dataset, containing over 3,965 annotated RGB images. It supports evaluating computer vision techniques for automatic defect identification to improve building inspections. A comprehensive study and comparison results simulate the identification and classification of defects in various real-world built environments.
primeqa
primeqa
741スター
The prime repository for state-of-the-art Multilingual Question Answering research and development.
ml_privacy_meter
privacytrustlab
731スター
Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.
pycaret
pycaret
9,862スター
Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.
awesome-AI-for-time-series-papers
qingsongedu
1,636スター
A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.
time-series-transformers-review
qingsongedu
3,026スター
A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.
SoTA-Point-Cloud
QingyongHu
1,631スター
🔥[IEEE TPAMI 2020] Deep Learning for 3D Point Clouds: A Survey
Entity
qqlu
1,055スター
EntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation
awesome-civil-engineering
QuantumNovice
118スター
Awesome civil engineering software and programming reosurces
qxresearch-event-1
qxresearch
3,038スター
Python hands on tutorial with 50+ Python Application (10 lines of code) By @xiaowuc2
point2mesh
ranahanocka
1,250スター
Reconstruct Watertight Meshes from Point Clouds [SIGGRAPH 2020]
tinyforge
ranausmanai
71スター
A tiny model that teaches itself to code better. On your laptop. No cloud. No teacher model. No human feedback.
ai-art-generator
rbbrdckybk
621スター
For automating the creation of large batches of AI-generated artwork locally.
colorization
richzhang
3,474スター
深層ニューラルネットワークによる自動色付け。「Colorful Image Colorization」。ECCV 2016。
deep-learning-wizard
ritchieng
881スター
Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, Apptainer, and more.
Vectra-Core
ronitgupta138
65スター
⚡ In-Memory Vector Search Engine & HNSW ANN Graph in Java 21 Loom. Sub-millisecond KNN retrieval, 8-bit scalar quantization (SQ8), 16,000+ QPS.
MixTeX-Latex-OCR
RQLuo
1,636スター
MixTeX multimodal LaTeX, ZhEn, and, Table OCR. It performs efficient CPU-based inference in a local offline on Windows.
- LaTeX Formula Recognition: Accurately recognizes complex LaTeX mathematical formulas, ensuring mathematical expression accuracy.
- Table Recognition: Efficiently processes and recognizes various tables, generating corresponding LaTeX table code.
R-sharp
rsharp-lang
36スター
R# language is a kind of CRAN GNU R liked vectorized language implements on .NET environment for the bioinformatics data analysis
ruv-FANN
ruvnet
393スター
A blazing-fast, memory-safe neural network library for Rust that brings the power of FANN to the modern world.
- Default features - Enable model I/O, serialization, compression, logging, and parallel-related utilities. CPU inference does not require a GPU.
- io - Enables file formats and training-data I/O. Keep bounds on bytes, decompressed data, and declared model dimensions when loading external data.
58スター
On-device subject cutouts, image labels, and OCR for React Native. Apple Vision (iOS) · Google ML Kit (Android). Built with Nitro Modules.
- removeBackground Subject cutout — trim, export PNG/JPEG, optional mask classifyImage Ranked labels — offline on both platforms readText OCR — Latin / CJK / Devanagari on Android; Vision on iOS 18+ analyzeImage All three from a single decode Cutout and OCR results live on the native side until you export them. Call dispose() when done.
- supportsBackgroundRemoval - Cutouts available