https://github.com/ghackenberg/ai-experiments
This repository demonstrates the use of AI libraries and tools
https://github.com/ghackenberg/ai-experiments
ai ml python pytorch transformers
Last synced: 3 months ago
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This repository demonstrates the use of AI libraries and tools
- Host: GitHub
- URL: https://github.com/ghackenberg/ai-experiments
- Owner: ghackenberg
- License: other
- Created: 2025-01-15T12:30:23.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-01-16T09:50:42.000Z (over 1 year ago)
- Last Synced: 2025-03-05T23:27:22.012Z (over 1 year ago)
- Topics: ai, ml, python, pytorch, transformers
- Language: Python
- Homepage:
- Size: 139 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- Contributing: CONTRIBUTING.md
- License: LICENSE.md
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README
# AI Experiments
This repository contains my personal experiments with artificial intelligence libraries and tools.
In the following, you find some example applications, which I have developed during my AI learning journey.
It is amazing to see, how easy AI can be integrated into software applications nowadays.
## Examples
Here is an overview of the examples contained in this repository.
### 🧑💻 [Text Generation](./Sources/text-generation.py)
This first example demonstrates the use of LLaMa 3.2 for providing a ChatGPT-like experience on your local computer in the command line.
### 🧑💻 [Image Generation](./Sources/image-generation.py)
This second example demonstrates the use of Stable Diffusion 1.5 for generating images from text prompts on your local computer in the command line.
The above prompt generated the following image.
Note that with other pretrained diffusion models and prompts better results probably can be achieved.
### 🧑💻 *More*
*... coming soon*
## Prerequisites
Here is a list of prerequisites, which are required for running the examples.
### 🧩 Python
Interpreter for the Python programming language.
*See https://www.python.org/*
### 🧩 PyTorch
GPU-based tensor computation library for the Python programming language.
*See https://github.com/pytorch/pytorch*
```
# ... with CUDA 11.8 (NVIDIA)
pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118
# ... with CUDA 12.1 (NVIDIA)
pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121
# ... with CUDA 12.4 (NVIDIA)
pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu124
# ... with ROCm 6.2 (AMD)
pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/rocm6.2
```
### 🧩 Transformers
Downloading and using pre-trained transformer models for generating text.
*See https://github.com/huggingface/transformers*
```
pip install transformers
```
### 🧩 Diffusers
Downloading and using pre-trained diffusion models for generating image, video, and audio.
```
pip install diffusers[torch]
```
*See https://github.com/huggingface/diffusers*
### 🧩 Accelerate
Multi-GPU training on top of PyTorch.
*See https://github.com/huggingface/accelerate*
```
pip install accelerate
```
### 🧩 Protobuf
Language-neutral and platform-independent serialization and deserialization of data structures.
*See https://github.com/protocolbuffers/protobuf*
```
pip install protobuf
```
### 🧩 SentencePiece
Unsupervised text tokenizer and detokenizer for neural network based text generation.
*See https://github.com/google/sentencepiece*
```
pip install sentencepiece
```