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Run PyTorch LLMs locally on servers, desktop and mobile
PyTorch code and models for the DINOv2 self-supervised learning method.
A library for efficient similarity search and clustering of dense vectors.
The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.
The code used to create and update the Open Australian Legal Corpus, the first and only multijurisdictional open corpus of Australian legislative and judicial documents.
A minimal PyTorch implementation of probabilistic diffusion models for 2D datasets.
Rebuild the Stable Diffusion Model in a single python script. Tutorial for Harvard ML from Scratch Series
Deformable ConvNets V2 (DCNv2) in PyTorch
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
[ICLR 2024] Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters
Unsupervised text tokenizer for Neural Network-based text generation.
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
tiktoken is a fast BPE tokeniser for use with OpenAI's models.
The simplest, fastest repository for training/finetuning medium-sized GPTs.
A latent text-to-image diffusion model
A game theoretic approach to explain the output of any machine learning model.
Serve, optimize and scale PyTorch models in production
Data Augmentation For Object Detection
Large Scale Non maximum Suppression. This project implements a O(nlog(n)) approach for non max suppression, useful for object detection ran on very large images such as satellite or histology, when…
A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights
🦷 Detection of restorations and treatments on dental x-rays in Tensorflow, using Faster-RCNN
End-to-End Object Detection with Transformers