clemkoa

dinov2

PyTorch code and models for the DINOv2 self-supervised learning method.

faiss

A library for efficient similarity search and clustering of dense vectors.

ComfyUI

The most powerful and modular stable diffusion GUI, api and backend with a graph/nodes interface.

llama.cpp

LLM inference in C/C++

open-australian-legal-corpus-creator

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.

tiny-diffusion

A minimal PyTorch implementation of probabilistic diffusion models for 2D datasets.

llama

Inference code for Llama models

DiffusionFromScratch

Rebuild the Stable Diffusion Model in a single python script. Tutorial for Harvard ML from Scratch Series

Deformable-Convolution-V2-PyTorch

Deformable ConvNets V2 (DCNv2) in PyTorch

llama2.c

Inference Llama 2 in one file of pure C

minGPT

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

LLaMA-Adapter

[ICLR 2024] Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters

ng-video-lecture

sentencepiece

Unsupervised text tokenizer for Neural Network-based text generation.

segment-anything

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

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

tiktoken

tiktoken is a fast BPE tokeniser for use with OpenAI's models.

nanoGPT

The simplest, fastest repository for training/finetuning medium-sized GPTs.

stable-diffusion

A latent text-to-image diffusion model

dvc

🦉 ML Experiments and Data Management with Git

shap

A game theoretic approach to explain the output of any machine learning model.

serve

Serve, optimize and scale PyTorch models in production

LIVECell

DataAugmentationForObjectDetection

Data Augmentation For Object Detection

lsnms

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 the number of instances to prune becomes very large.

efficientdet-pytorch

A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights

tooth-detection

🦷 Detection of restorations and treatments on dental x-rays in Tensorflow, using Faster-RCNN

detr

End-to-End Object Detection with Transformers

ntm

Neural Turing Machines in pytorch

simavr

simavr is a lean, mean and hackable AVR simulator for linux & OSX