Prince Canuma

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.

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

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

BiSeNet-Implementation. Here is a tutorial on how to implement a research Paper with Keras

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

Coding-LLMs-from-scratch. Jupyter Notebook

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

mlx-lm. Run LLMs with MLX

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.

Cancer_classifier. Data science, AI and Machine Learning

Inworld-tts. Inworld TTS

Blaizzy.

grok. Grok open release

model-activation-visualiser. model activation visualiser

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

Boring_weekends. This where I put my crazy projects that I do when I'm bored or inspired by the boredom

gsm-mlx. gsm8k eval in MLX.

mlx. MLX: An array framework for Apple silicon

infini-transformer. PyTorch implementation of Infini-Transformer from "Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention" (https://arxiv.org/abs/2404.07143)

InfiniTransformer. Unofficial PyTorch/🤗Transformers(Gemma/Llama3) implementation of Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention

LayerSkip. "LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding", Accepted to ACL 2024

gemma-2B-10M. Gemma 2B with 10M context length using Infini-attention.

WizardLM. LLMs build upon Evol Insturct: WizardLM, WizardCoder, WizardMath

lm-evaluation-harness. A framework for few-shot evaluation of language models.

Semantic-Segmentation-Suite. Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!

langchain. 🦜🔗 Build context-aware reasoning applications

60daysUdacity. Jupyter Notebook

mlx-examples. Examples in the MLX framework

candle. Minimalist ML framework for Rust

fast-whisper-finetuning. Jupyter Notebook