Mikkareem

Physics Bubble Screen in Compose Multiplatform

Using RenderEffect

Targets: Android / IOS / Desktop / JVM

All Demos are available in Comments

Thanks to Kyriakos-Georgiopoulos

lukasmalkmus

# /// script
# requires-python = ">=3.10"
# dependencies = ["mlx>=0.24"]
# ///
"""
microgpt ported to MLX — the same algorithm, now vectorized on Apple Silicon.

Original: https://gist.github.com/karpathy/8627fe009c40f57531cb18360106ce95
This version: mlx.core arrays, mlx.nn modules, mlx.optimizers.Adam
"""

karpathy

"""
The most atomic way to train and run inference for a GPT in pure, dependency-free Python.
This file is the complete algorithm.
Everything else is just efficiency.

@karpathy
"""

import os       # os.path.exists
import math     # math.log, math.exp

bmc08gt

import androidx.compose.runtime.Composable
import androidx.compose.runtime.getValue
import androidx.compose.runtime.mutableStateOf
import androidx.compose.runtime.setValue
import androidx.compose.ui.platform.SoftwareKeyboardController
import kotlinx.coroutines.CoroutineScope
import kotlinx.coroutines.delay
import kotlinx.coroutines.launch

public abstract class KeyboardController(

fvilarino

class MainActivity : ComponentActivity() {
    override fun onCreate(savedInstanceState: Bundle?) {
        super.onCreate(savedInstanceState)
        setContent {
            PlaygroundTheme {
                Surface(
                    modifier = Modifier.fillMaxSize(),
                    color = MaterialTheme.colorScheme.background,
                ) {
                    Box {

hmlongco

struct Colors {
    let primary: Color
}

struct Fonts {
    let body: Font
}

class Theme: ObservableObject {
    let color: Colors

mmobin789

import android.annotation.TargetApi
import android.content.Context
import android.net.ConnectivityManager
import android.net.Network
import android.net.NetworkRequest
import android.os.Build

/**