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Notes and exploration code for learning about AI/ML
A list of useful materials about Create ML and Core ML
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.
Wrapping C `tokenizers` in ergonomic, safe Swift.
Pipelines for running pretrained Core ML models
haoheliu / deep-clustering
Forked from funcwj/deep-clusteringdeep clustering method for single-channel speech separation
MLX-Embeddings is the best package for running Vision and Language Embedding models locally on your Mac using MLX.
A vector search SQLite extension that runs anywhere!
🔎 SimilaritySearchKit is a Swift package providing on-device text embeddings and semantic search functionality for iOS and macOS applications.
Computational photography pipeline that performs multiple inferences from any image or video.
GGUF implementation in C as a library and a tools CLI program
LLM.swift is a simple and readable library that allows you to interact with large language models locally with ease for macOS, iOS, watchOS, tvOS, and visionOS.
RoBERTa based Spam Message Detection
CLIP inference in plain C/C++ with no extra dependencies
Text To Video Synthesis Colab
alexrozanski / llama.swift
Forked from ggml-org/llama.cppFork of llama.cpp, supporting Facebook's LLaMA model in Swift
AudioLDM: Generate speech, sound effects, music and beyond, with text.
A timeline of the latest AI models for audio generation, starting in 2023!
Audio generation using diffusion models, in PyTorch.
TensorFlow JS models for MIRNet for low-light💡 image enhancement
Data science interview questions and answers
Simple tutorials using Google's TensorFlow Framework