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adapter-bert

Adapter Based BERT code which uses bottleneck adapters trained on relations from ConceptNet which acts as a source of external commonsense knowledge to improve downstream NLP task of multichoice reasoning

adapter-transformers

Huggingface Transformers + Adapters = ❤️

aurum-datadiscovery

bert-for-tf2

A Keras TensorFlow 2.0 implementation of BERT, ALBERT and adapter-BERT.

bertopic

Leveraging BERT and c-TF-IDF to create easily interpretable topics.

bringing-old-photos-back-to-life

Bringing Old Photo Back to Life (CVPR 2020 oral)

clip

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

cs231n.github.io

Public facing notes page

dash_doodler

Doodler. A web application built with plotly/dash for image segmentation with minimal supervision. Plays nicely with segmentation gym, https://github.com/Doodleverse/segmentation_gym

data-science-journey

There are no shortage of "intro to machine learning" blogs out there. Some are great! Most of them are reasonably straight-forward analyses of a dataset, using standard modelling approaches. Very few of them dig deeper and extend beyond these initial analyses.

deep-spectral-segmentation

Unsupervised Spectral Clustering for Semantic Segmentation

dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

emp-ssl

This repository contains the implementation for the paper "EMP-SSL: Towards Self-Supervised Learning in One Training Epoch."

global-canopy-height-model

This repository contains the code used in the paper: A high-resolution canopy height model of the Earth. Here, we developed a model to estimate canopy top height anywhere on Earth. The model estimates canopy top height for every Sentinel-2 image pixel and was trained using sparse GEDI LIDAR data as a reference.

google-research

Google Research

highrescanopyheight

This repository provides inference code to compute canopy height maps from aerial images, as described in the paper "Very high resolution canopy height maps from RGB imagery using self-supervised vision transformer and convolutional decoder trained on Aerial Lidar".

ijepa

Official codebase for I-JEPA, the Image-based Joint-Embedding Predictive Architecture. First outlined in the CVPR paper, "Self-supervised learning from images with a joint-embedding predictive architecture."

intake-stac

Intake interface to STAC data catalogs

interchange

Not quite sure where this is going yet...

itbreg

Introduction to Bayesian Regression Methods

jamesbondmovietrailers

Part of the Udacity Nanodegree in Full Stack Web Development

keras-vision-transformer

The Tensorflow, Keras implementation of Swin-Transformer and Swin-UNET

layer_masking

Code to reproduce our ICCV paper "Towards Improved Input Masking for Convolutional Neural Networks"

lingoai-tutorials

This repo is in it's early days. We'll use this for training and tutorials on things that we find interesting here at Lingo Search & AI

litgpt

Pretrain, finetune, deploy 20+ LLMs on your own data. Uses state-of-the-art techniques: flash attention, FSDP, 4-bit, LoRA, and more.

llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

llms-from-scratch

Implementing a ChatGPT-like LLM from scratch, step by step

machine-learning-book

Code Repository for Machine Learning with PyTorch and Scikit-Learn

machinelearning-qandai-book

Machine Learning Q and AI book

ml-engineering

Machine Learning Engineering Guides and Tools