Prince Canuma

@Blaizzy · User

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MLOps | LLMs | VLMs | Audio LMs | Ex - ML Research Engineer @arcee-ai

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Repositories

Blaizzy/mlx-audio

A text-to-speech (TTS), speech-to-text (STT) and speech-to-speech (STS) library built on Apple's MLX framework, providing efficient speech analysis on Apple Silicon.

★ 7,965PythonForks 736

Blaizzy/nativ

Local AI, native to your Mac. Chat, serve, monitor, and connect MLX models from one macOS app.

★ 1,466SwiftForks 101

Blaizzy/mlx-vlm

MLX-VLM is a package for inference and fine-tuning of Vision Language Models (VLMs) on your Mac using MLX.

★ 5,559PythonForks 810

Blaizzy/mlx-video

MLX-Video is the best package for inference and finetuning of Image-Video-Audio generation models on your Mac using MLX.

★ 307PythonForks 57

Blaizzy/mlx-embeddings

MLX-Embeddings is the best package for running Vision and Language Embedding models locally on your Mac using MLX.

★ 447PythonForks 63

Blaizzy/repometer

Live line counts for GitHub repositories, folders, pull requests, and side-by-side comparisons.

★ 1JavaScriptForks 0

Blaizzy/mlx

MLX: An array framework for Apple silicon

★ 3C++Forks 0

Blaizzy/cuda-learning

This repository is a curated collection of resources, tutorials, and practical examples designed to guide you through the journey of mastering CUDA programming. Whether you're just starting or looking to optimize and scale your GPU-accelerated applications.

★ 6Forks 1

Blaizzy/jPlayer

jPlayer : HTML5 Audio & Video for jQuery

★ 1JavaScriptForks 0

Blaizzy/fastmlx

FastMLX is a high performance production ready API to host MLX models.

★ 24PythonForks 4

Blaizzy/vllm-omni

A framework for efficient model inference with omni-modality models

★ 2Forks 0

Blaizzy/transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

★ 1PythonForks 0

Blaizzy/LLMOps

Deploy and scale Large Language Models (LLMs) in production.

★ 40Jupyter NotebookForks 4

Blaizzy/LightGBM

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

★ 0Forks 0

Blaizzy/sleeper-agents-paper

Contains random samples referenced in the paper "Sleeper Agents: Training Robustly Deceptive LLMs that Persist Through Safety Training".

★ 1Forks 0

Blaizzy/langchain

🦜🔗 Build context-aware reasoning applications

★ 2PythonForks 0

Blaizzy/VoCoT

VoCoT: Unleashing Visually Grounded Multi-Step Reasoning in Large Multi-Modal Models

★ 2Forks 0