FL33TW00D / deCoreML
Find out why your CoreML model isn't running on the Neural Engine!
β25Updated 8 months ago
Alternatives and similar repositories for deCoreML:
Users that are interested in deCoreML are comparing it to the libraries listed below
- See the device (CPU/GPU/ANE) and estimated cost for every layer in your CoreML model.β22Updated 9 months ago
- Profile your CoreML models directly from Python πβ27Updated 4 months ago
- MLX Swift implementation of Andrej Karpathy's Let's build GPT videoβ57Updated 10 months ago
- mlx image models for Apple Silicon machinesβ73Updated 3 months ago
- β75Updated 3 weeks ago
- β25Updated 3 months ago
- ModernBERT model optimized for Apple Neural Engine.β23Updated 2 months ago
- Implementation of E2-TTS, "Embarrassingly Easy Fully Non-Autoregressive Zero-Shot TTS", in MLXβ19Updated 5 months ago
- A collection of optimizers for MLXβ32Updated last week
- β14Updated 3 months ago
- CLIP-Finder enables semantic offline searches of images from gallery photos using natural language descriptions or the camera. Built on Aβ¦β73Updated 7 months ago
- Implementation of F5-TTS in Swift using MLXβ58Updated 3 months ago
- Implementation of 'Vocos: Closing the gap between time-domain and Fourier-based neural vocoders for high-quality audio synthesis', in MLXβ16Updated 4 months ago
- Tool for visual profiling Core ML models, compatible with both package and compiled versions, including reasons for unsupported operationβ¦β28Updated 8 months ago
- CLI to demonstrate running a large language model (LLM) on Apple Neural Engine.β94Updated 2 months ago
- Port of Suno's Bark TTS transformer in Apple's MLX Frameworkβ75Updated last year
- MLX Transformers is a library that provides model implementation in MLX. It uses a similar model interface as HuggingFace Transformers anβ¦β62Updated 3 months ago
- run embeddings in MLXβ82Updated 5 months ago
- Embarrassingly Easy Fully Non-Autoregressive Zero-Shot TTS (E2 TTS) in MLXβ26Updated 4 months ago
- ANE accelerated embedding models!β17Updated 3 months ago
- MLX-Embeddings is the best package for running Vision and Language Embedding models locally on your Mac using MLX.β105Updated 4 months ago
- β15Updated 3 months ago
- MLX support for the Open Neural Network Exchange (ONNX)β45Updated last year
- Shared personal notes created while working with the Apple MLX machine learning frameworkβ21Updated 8 months ago
- Run transformers (incl. LLMs) on the Apple Neural Engine.β58Updated last year
- Benchmarks comparing PyTorch and MLX on Apple Silicon GPUsβ75Updated 7 months ago
- Minimal, clean code implementation of RAG with mlx using gguf model weightsβ49Updated 10 months ago