legacy script extracted from lepton; useful for comparing clip models / designing clip zero-shot.
script:
#!/usr/bin/env python
# -*- coding: utf-8 -*-Grok is amazing, you can just learn things now lol
Listed the rencent (2023-25) and relavant Uni / Grad courses about image understanding, that can be used either as learning materials, or as RAG grounding sources.
This document provides a carefully curated list of university and graduate-level courses from top-tier institutions that offer openly accessible online materials such as lecture slides, notes, and assignments. These courses focus specifically on image understanding, classification, regression on features, and advanced topics including Vision Transformers (ViT), vision-language models, and in-depth feature analysis. Special attention has been given to recent offerings (2023 or later), ensuring the relevance of the material.
paste all contents below and replace
{TO_CONVERT_CONTENT}with a working example of the new model to integrate
Here's the base inference class for a library called procslib:
# src/procslib/models/base_inference.py
from abc import ABC, abstractmethodGo to Gemini "Stream Realtime" mode, in Google AI Studio: https://aistudio.google.com/live
Paste prompt into the "system instructions" section
Start screenshare and ask questions about current material.
| """ | |
| orig: https://huggingface.co/spaces/hexgrad/Kokoro-TTS | |
| Deps: | |
| pip install kokoro | |
| other files: see original repo | |
| """ | |
| import os | |
| import random |
| // ==UserScript== | |
| // @name Remove F12 Blocking | |
| // @namespace http://tampermonkey.net/ | |
| // @version 1.0 | |
| // @description Removes scripts that block developer tools access | |
| // @author YourName | |
| // @match *://*/* | |
| // @run-at document-start | |
| // @grant none | |
| // ==/UserScript== |
| """ | |
| To use this script: | |
| 1. Install dependencies: | |
| ```bash | |
| pip install pypdf | |
| ``` | |
| 2. Run it with your input file path and desired output path. |
env:
test command:
python benchmark.py --verbose