A curated list of resources about generative flow networks (GFlowNets).

A Python package for handling histopathology whole-slide images using multiple instance learning (MIL) techniques.

Constructed attention-based deep multiple instance learning model using PyTorch and trained on 624 whole slide images of digitized H&E-stained prostate biopsies using AWS SageMaker’s data paralleli…

Attention-based Deep MIL implementation and application

Implementation of Attention-based Deep Multiple Instance Learning in PyTorch

Deep Reinforcement Learning: Zero to Hero!

Graph Neural Network Library for PyTorch

EfficientNet-Keras-GradCam-Visualization

Predicting assays Using Morphological Analysis

https://huyenchip.com/ml-interviews-book/

Code and documentation to train Stanford's Alpaca models, and generate the data.

How to create an OS from scratch

Курс по матстату для онлайна :)

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

Official TensorFlow code for the paper "Efficient-CapsNet: Capsule Network with Self-Attention Routing".

Hierarchical Image Pyramid Transformer - CVPR 2022 (Oral)

Documentation for installing and using of DeepProfiler

Morphological profiling using deep learning

Implementation of Size Constrained Clustering Algorithm

Python package built to ease deep learning on graph, on top of existing DL frameworks.

Minimal implementation of SimSiam (https://arxiv.org/abs/2011.10566) in TensorFlow 2.

Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute

Generate 8-bit chiptunes with deep learning

Compute FID scores with PyTorch.

LPIPS metric. pip install lpips

StarDist - Object Detection with Star-convex Shapes

Local ancestry estimation

Implementation of EfficientNet model. Keras and TensorFlow Keras.

A Python interface to AFL, allowing for easy injection of testcases and other functionality.