charyeezy

algorithms-tour

How data science is woven into the fabric of Stitch Fix

alibi

Algorithms for explaining machine learning models

aws-lambda-powertools-python

A suite of utilities for AWS Lambda Functions that makes tracing with AWS X-Ray, structured logging and creating custom metrics asynchronously easier

bootcamp

Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.

CLAM

Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering

datetime-delta

deeplake

Data Lake for Deep Learning. Build, manage, query, version, & visualize datasets. Stream data real-time to PyTorch/TensorFlow. https://activeloop.ai

dji-aerial-georeferencing

Detect objects in drone videos and plot them on a map

dsmil-wsi

DSMIL: Dual-stream multiple instance learning networks for tumor detection in Whole Slide Image

Emotion-detection

Real-time Facial Emotion Detection using deep learning

env_scripts

Helper scripts for Python, Conda and Saml2AWS environments

excalidraw

Virtual whiteboard for sketching hand-drawn like diagrams

flair

A very simple framework for state-of-the-art Natural Language Processing (NLP)

google-research

Google Research

HIPT

Hierarchical Image Pyramid Transformer - CVPR 2022 (Oral)

Kats

Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.

label-studio

Label Studio is a multi-type data labeling and annotation tool with standardized output format

lightning-hydra-template

PyTorch Lightning + Hydra. A very user-friendly template for rapid and reproducible ML experimentation with best practices. ⚡🔥⚡

Mask2Former

Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"

MedicalNet

Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.

neuroglancer

WebGL-based viewer for volumetric data

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

pytorch_connectomics

PyTorch Connectomics: segmentation toolbox for EM connectomics

ray_lightning

Pytorch Lightning Distributed Accelerators using Ray

segmentation_models.pytorch

Segmentation models with pretrained backbones. PyTorch.

sentence-transformers

Multilingual Sentence & Image Embeddings with BERT

SISH

Fast and scalable search of whole-slide images via self-supervised deep learning - Nature Biomedical Engineering

TeViT

Temporally Efficient Vision Transformer for Video Instance Segmentation, CVPR 2022, Oral

VideoTransformer-pytorch

PyTorch implementation of a collections of scalable Video Transformer Benchmarks.

workflows

Relevance AI Workflows