Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"
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Updated
Jun 22, 2021 - Python
Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"
SEER, reimplemented in python 🐍🔮
Reimplementation of robust motion in-betweening
Using APPL to reimplement popular algorithms for Large Language Models (LLMs) and prompts
A reimplementation of Hanocka et al.'s paper Point2Mesh: A Self-Prior for Deformable Meshes for CSCI 1470: Deep Learning at Brown University.
A Powerful and Modern Minecraft Classic Server Software - Written in 100% Python & Compatible with Classicube!
PyTorch re-implementation of [Structured Inference Networks for Nonlinear State Space Models, AAAI 17]
Implementation of Hybrid CTC/Attention Architecture for End-to-End Speech Recognition in pure python and PyTorch
Reimplementation of the paper `Human Attention Maps for Text Classification: Do Humans and Neural Networks Focus on the Same Words? (ACL2020)`
Reimplementation of Slot Attention (object discovery task) in PyTorch with converted checkpoint
This is the reimplementation of the NeuralTextSimplification system in Pytorch.
My personal implementation for Multi-Scale Attention Generative Adversarial Networks for Video Frame Interpolation (2020).
Playable high-level reimplementation of the engine for LAYTON2 (Professor Layton and the Diabolical Box / Professor Layton and Pandora's Box)
Implementation of UMSI: Predicting Visual Importance Across Graphic Design Types
YOLOv3 reimplemented using basic PyTorch building blocks.
A reimplementation of redis in pure python
Reimplementation of Manin (2008)'s models of lexical-semantic evolution
Windows notepad implemented in python
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