| 术语 | 定义 |
|---|---|
| Open-weight（权重开源） | 模型权重公开可下载、允许研究与商用，但训练数据 / 代码通常保留 |
| Fully-open（完全开源） | 除权重外，训练数据、训练代码、训练日志、中间检查点全部公开（典型代表：OLMo） |
BIGBALLON
/ llm-technical-reports-2026.md
Created
April 21, 2026 09:40
LLM Technical Reports Landscape (2021–2026): 27 orgs × 70+ arXiv papers, with HuggingFace / GitHub / License / context / benchmarks. Open-weight + closed-API, fully cross-referenced.
BIGBALLON
/ gradio_bbox_annotate_save.py
Created
May 9, 2025 06:49
This Python script creates an interactive Gradio interface for annotating images with bounding boxes. Users can upload an image, click two points to draw a box, and view its coordinates and area ratio.
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| import gradio as gr | |
| import numpy as np | |
| # Global variable to store the first click coordinates | |
| start_point = None | |
| def draw_bounding_box(image: np.ndarray, event: gr.SelectData) -> tuple: | |
| """ | |
| Handle click events to draw a bounding box on the image. | |
BIGBALLON
/ pytorch_diagnostics.py
Created
April 24, 2025 11:14
This script is useful for developers, researchers, or system administrators who want to ensure that a PyTorch environment is correctly installed and fully operational for deep learning tasks, both on CPU and GPU.
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| #!/usr/bin/env python3 | |
| # -*- coding: utf-8 -*- | |
| import sys | |
| # Function to print a formatted section header | |
| def print_header(msg): | |
| print("\n" + "=" * len(msg)) | |
| print(msg) | |
| print("=" * len(msg)) |
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| Package Version | |
| ----------------------------- ----------- | |
| absl-py 2.1.0 | |
| accelerate 0.30.0 | |
| addict 2.4.0 | |
| aiofiles 23.2.1 | |
| aiohttp 3.9.5 | |
| aiosignal 1.3.1 | |
| aliyun-python-sdk-core 2.15.1 | |
| aliyun-python-sdk-kms 2.16.3 |
BIGBALLON
/ radar.ipynb
Created
January 13, 2024 18:52
— forked from donglixp/radar.ipynb
Radar figure in BEiT-3
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| import colorlog | |
| import logging | |
| # 创建日志记录器 | |
| logger = colorlog.getLogger(__name__) | |
| # 设置日志级别和格式 | |
| logger.setLevel(logging.DEBUG) | |
| formatter = colorlog.ColoredFormatter( | |
| "%(log_color)s%(levelname)-8s%(reset)s %(log_color)s%(asctime)s | %(blue)s%(message)s", |
BIGBALLON
/ imagenet21k_ids_with_classnames.csv
Created
June 20, 2023 07:51
Imagenet21k label with classnames
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| n00004475,organism, being | |
| n00005787,benthos | |
| n00006024,heterotroph | |
| n00006484,cell | |
| n00007846,person, individual, someone, somebody, mortal, soul | |
| n00015388,animal, animate_being, beast, brute, creature, fauna | |
| n00017222,plant, flora, plant_life | |
| n00021265,food, nutrient | |
| n00021939,artifact, artefact | |
| n00120010,hop |
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| """ | |
| # Anomaly Simulation for MVTecAD | |
| # Download describable textures dataset | |
| wget https://www.robots.ox.ac.uk/~vgg/data/dtd/download/dtd-r1.0.1.tar.gz | |
| # Download MVTec anomaly detection dataset | |
| wget https://www.mydrive.ch/shares/38536/3830184030e49fe74747669442f0f282/download/420938113-1629952094/mvtec_anomaly_detection.tar.xz | |
| """ | |
| import os | |
| import random |
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| import math | |
| import os | |
| import random | |
| from itertools import product | |
| import numpy as np | |
| from imgaug import augmenters as iaa | |
| from PIL import Image | |
| IMG_SIZE = 600 |
BIGBALLON
/ ap_test.py
Created
April 9, 2021 09:49
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| import numpy as np | |
| def voc_ap(rec, prec): | |
| # correct AP calculation | |
| # first append sentinel values at the end | |
| mrec = np.concatenate(([0.], rec, [1.])) #[0. 0.0666, 0.1333, 0.4 , 0.4666, 1.] | |
| mpre = np.concatenate(([0.], prec, [0.])) #[0. 1., 0.6666, 0.4285, 0.3043, 0.] | |
| for i in range(mpre.size - 1, 0, -1): | |
| mpre[i - 1] = np.maximum(mpre[i - 1], mpre[i]) #[1. 1. 0.6666 0.4285 0.3043 0. ] |
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