s3nh
Follow
Stars
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Instruct-tune LLaMA on consumer hardware
StableLM: Stability AI Language Models
QLoRA: Efficient Finetuning of Quantized LLMs
This repository contains demos I made with the Transformers library by HuggingFace.
Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion
Using Low-rank adaptation to quickly fine-tune diffusion models.
Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple
Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.
[CVPR 2022] Thin-Plate Spline Motion Model for Image Animation.
pytorch implementation of openpose including Hand and Body Pose Estimation.
Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Collection of notebook guides created by the Brev.dev team!
OneFormer: One Transformer to Rule Universal Image Segmentation, arxiv 2022 / CVPR 2023
Doing simple retrieval from LLM models at various context lengths to measure accuracy
Unofficial implementation of "Prompt-to-Prompt Image Editing with Cross Attention Control" with Stable Diffusion
Takagi and Nishimoto, CVPR 2023
Some ipython notebooks implementing AI algorithms
My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT p…
Go from no deep learning knowledge to implementing GPT.
All in One Version : Youtube WAV Download, Separating Vocal, Splitting Audio, Training, and Inference Using Google Colab
Apply diffusion models using the new Hugging Face diffusers package to synthesize music instead of images.
This project extends the idea of the innovative architecture of Kolmogorov-Arnold Networks (KAN) to the Convolutional Layers, changing the classic linear transformation of the convolution to learna…
🌮 Trash Annotations in Context Dataset Toolkit