Implementations of Deep Learning Techniques
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Updated
May 18, 2024 - Python
Implementations of Deep Learning Techniques
A simple UI / Web / Frontend for MLX mlx-lm using Streamlit.
Meme search engine and recommendation system using CLIP-based neural nets
Examples for using the SiLLM framework for training and running Large Language Models (LLMs) on Apple Silicon
Distill knowledge from in-context learning into efficient LoRA adapters, enabling expert LLM performance with smaller context windows.
MLX-VLM is a package for running Vision LLMs locally on your Mac using MLX.
SiLLM simplifies the process of training and running Large Language Models (LLMs) on Apple Silicon by leveraging the MLX framework.
大模型推理框架加速,让 LLM 飞起来
This project is a simple 2D game designed to make you use textures, sprites and some basic gameplay elements.
Benchmark of Apple MLX operations on all Apple Silicon chips (GPU, CPU) + MPS and CUDA.
Single safetensors file support Apple MLX Stable Diffusion
This repository provides the code and model checkpoints of the research paper: Scalable Pre-training of Large Autoregressive Image Models
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