Stars
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Visually shows the current cases of Covid-19 in New Zealand
We are building an open database of COVID-19 cases with chest X-ray or CT images.
Exercises and notes preparing for az-300 exam
Official implementation of CVPR2020 paper "VIBE: Video Inference for Human Body Pose and Shape Estimation"
Digging into Spotify's valence score
Computer Vision Basics in Microsoft Excel (using just formulas)
Breed and share images using biggan
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
Keras image data generator with new additional transform functions for palimpsests OCR. Functions include elastic transform and MNIST mask overlay.
[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy
Detection and segmentation of the Left Ventricle in Cardiac MRI using Deep Learning and Deformable models
Convolutional Neural Network-Based Instance Segmentation Algorithm to Acquire Quantitative Criteria of Early Mouse Development
You were probably looking for our website... this is it. We moved our website here, so you can see the insides of how we work.
Bloomberg Beta's Investment Documents for Series Seed, SAFEs, and Notes
Documentation behind the model used to analyse companies in Simply Wall St
Experiment testing the feasibility of individual bird recognition from audio recordings
Various utilities for running and evaluating the Python Multi-agent Reinforcement Learning framework (PyMARL)
Train a model to class food review sentiments
Open source platform for the machine learning lifecycle
Using convolutional neural networks to build and train a bird species classifier on bird song data with corresponding species labels.