neobundy / Deep-Dive-Into-AI-With-MLX-PyTorchLinks
"Deep Dive into AI with MLX and PyTorch" is an educational initiative designed to help anyone interested in AI, specifically in machine learning and deep learning, using Apple's MLX and Meta's PyTorch frameworks.
☆482Updated 3 months ago
Alternatives and similar repositories for Deep-Dive-Into-AI-With-MLX-PyTorch
Users that are interested in Deep-Dive-Into-AI-With-MLX-PyTorch are comparing it to the libraries listed below
Sorting:
- Large Language Models (LLMs) applications and tools running on Apple Silicon in real-time with Apple MLX.☆454Updated 6 months ago
- Deep learning for dummies. All the practical details and useful utilities that go into working with real models.☆813Updated 3 weeks ago
- ☆678Updated 3 months ago
- LoRA and DoRA from Scratch Implementations☆209Updated last year
- Efficient framework-agnostic data loading☆434Updated 2 months ago
- gpt-2 from scratch in mlx☆395Updated last year
- [ICLR 2025] Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling☆904Updated 3 months ago
- Explore a simple example of utilizing MLX for RAG application running locally on your Apple Silicon device.☆174Updated last year
- ☆447Updated last year
- Fine-tune mistral-7B on 3090s, a100s, h100s☆718Updated last year
- Fully fine-tune large models like Mistral, Llama-2-13B, or Qwen-14B completely for free☆232Updated 9 months ago
- The Multilayer Perceptron Language Model☆558Updated last year
- Fast parallel LLM inference for MLX☆206Updated last year
- Following master Karpathy with GPT-2 implementation and training, writing lots of comments cause I have memory of a goldfish☆172Updated last year
- Minimal example scripts of the Hugging Face Trainer, focused on staying under 150 lines☆197Updated last year
- LLM Workshop by Sourab Mangrulkar☆392Updated last year
- A simple UI / Web / Frontend for MLX mlx-lm using Streamlit.☆261Updated 2 months ago
- Automatically evaluate your LLMs in Google Colab☆656Updated last year
- Best practices & guides on how to write distributed pytorch training code☆470Updated 6 months ago
- The Tensor (or Array)☆441Updated last year
- UNet diffusion model in pure CUDA☆648Updated last year
- Fast bare-bones BPE for modern tokenizer training☆164Updated 2 months ago
- Toolkit for attaching, training, saving and loading of new heads for transformer models☆285Updated 5 months ago
- A comprehensive deep dive into the world of tokens☆226Updated last year
- Llama from scratch, or How to implement a paper without crying☆578Updated last year
- The Autograd Engine☆628Updated 11 months ago
- A benchmark to evaluate language models on questions I've previously asked them to solve.☆1,029Updated 4 months ago
- 👁️ + 💬 + 🎧 = 🤖 Curated list of top foundation and multimodal models! [Paper + Code + Examples + Tutorials]☆630Updated last year
- Starter pack for NeurIPS LLM Efficiency Challenge 2023.☆125Updated last year
- Official implementation of Half-Quadratic Quantization (HQQ)☆868Updated last week