PyTorch Tutorial for Deep Learning Researchers

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

Prefect is a workflow orchestration framework for building resilient data pipelines in Python.

Python Implementation of Reinforcement Learning: An Introduction

pix2tex: Using a ViT to convert images of equations into LaTeX code.

A curated list of practical financial machine learning tools and applications.

A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.

OpenMMLab Rotated Object Detection Toolbox and Benchmark

A large-scale dataset of both raw MRI measurements and clinical MRI images.

Collection of google colaboratory notebooks for fast and easy experiments

All the slides, accompanying code and exercises all stored in this repo. 🎈

U-Net implementation in PyTorch for FLAIR abnormality segmentation in brain MRI

Algorithm implementations and homework solutions for the Stanford's online courses

This is the official code for the paper CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning (NeurIPS22).

Implementation of “DreamDiffusion: Generating High-Quality Images from Brain EEG Signals”

This repo provides the official code for : 1) TransBTS: Multimodal Brain Tumor Segmentation Using Transformer (https://arxiv.org/abs/2103.04430) , accepted by MICCAI2021. 2) TransBTSV2: Towards Bet…

A neural network written in Python, consisting of a single neuron that uses back propagation to learn.

Brain Imaging Analysis Kit

[ACL'20] HAT: Hardware-Aware Transformers for Efficient Natural Language Processing

Learn about the Neumorphic engineering process of creating large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro-biological architectures.

Data and code for Shen, Horikawa, Majima, and Kamitani (2019) Deep image reconstruction from human brain activity. PLoS Comput. Biol. http:https://dx.doi.org/10.1371/journal.pcbi.1006633.

[MICCAI2022] This is an official PyTorch implementation for A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation

A high-level, easy-to-deploy non-uniform Fast Fourier Transform in PyTorch.

# AD-Prediction Convolutional Neural Networks for Alzheimer's Disease Prediction Using Brain MRI Image ## Abstract Alzheimers disease (AD) is characterized by severe memory loss and cognitive impai…

Building an ACL tear detector to spot knee injuries from MRIs with PyTorch (MRNet)

Segmentation deep learning ALgorithm based on MONai toolbox: single and multi-label segmentation software developed by QIMP team-Vienna.

A Behavior-Level Modeling Tool for Memristor-based Neuromorphic Computing Systems

PyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty

Artificial Intelligence By Example, published by Packt