🎙️ AI-powered Telegram bot for voice-to-text transcription using OpenAI Whisper. CPU-only, no GPU required, privacy-focused with local processing.
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Updated
Jul 18, 2025 - Python
🎙️ AI-powered Telegram bot for voice-to-text transcription using OpenAI Whisper. CPU-only, no GPU required, privacy-focused with local processing.
Collama - Run Ollama Models on Google Colab
CPU inference for Kimi K3, a 2.78T-parameter MoE LLM, in pure Rust. No GPU, no BLAS, no PyTorch. Streams the checkpoint from disk. Byte-identical port of kimi-k3-in-c.
Pixel art without GPU. Any text-only LLM can draw. Size + prompt → self-contained HTML. Claude Code skill / MCP compatible.
A biomorphic neuromorphic inference engine inspired by cricket auditory neuroscience — performing real-time temporal pattern recognition via delay-line coincidence detection, without matrix multiplication.
No-GPU 3D scanning from phone rotation videos — pure geometry, no neural networks, no cloud
A 3D software rendering engine built from scratch in Rust. Implements a custom graphics pipeline, linear algebra library, and scene graph without hardware acceleration APIs.
DeepSeek V4 Flash prompt engineering + Flux free image generation. Zero cost, no GPU, China-friendly AI image workflow.
low-ends games web
Genesis 2 — Cascade MoE Neural Network | CPU-only AI: 10,800 experts, 100% accuracy, 18ms inference | No GPU | Self-hosted alternative to GPT/LLaMA | Affiliate program: 40% commission
CPU-trained reasoning model pipeline. LoRA SFT + DPO on SmolLM2-360M, GSM8K math reasoning, single-laptop deployment.
🎬 PhantomRec: The Ultimate Low-End Screen Recorder — Smooth 60 FPS on Weak PCs, Dual-Core CPUs, No GPU Required
CPU-native inference runtime. Local-propagation paradigm: the active region pays the cost, not the field. Bit-exact across architectures. Validated for streaming anomaly detection and audio VAD.
Speak a field note, get a structured record. You define the fields; every value cites the audio it was heard in. Hindi/Hinglish, runs on a laptop for free.
Photos to 3D on a free Colab GPU: CUDA-enabled COLMAP matching, a desktop app for camera positions, and Gaussian Splatting training. 320 photos matched in 28 minutes instead of 11 hours.
Python ctypes binding for LC Runtime — CPU-native, bit-exact, no-GPU inference. Companion to bracoTuxbr/local-coherence.
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