An openAI gym project for pokemon involving deep q learning. Made by myself, Sam Little, and Layton Webber.
This code captures games played online, interprets them, updates a RNN to learn from them, and implements and evaluates them against a random agent.
Requires a locally hosted node.js Pokemon Showdown server and poke-env.
Gym can be installed with 'pip install -e agent_vs_agent'.
Program can be run with 'python3 main.py'.
Less is More: Pay Less Attention in Vision Transformers Official PyTorch implementation of Less is More: Pay Less Attention in Vision Transformers. By
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The Empirical Investigation of Representation Learning for Imitation (EIRLI)
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Stock Price Prediction Using Deep Learning Univariate Time Series Predicting stock price using historical data of a company using Neural networks for
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Tensor2Tensor Tensor2Tensor, or T2T for short, is a library of deep learning models and datasets designed to make deep learning more accessible and ac
Code for CCA-SSG model proposed in the NeurIPS 2021 paper From Canonical Correlation Analysis to Self-supervised Graph Neural Networks.
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MODNet is a model for real-time portrait matting with only RGB image input.
Emotion-EEG Set of models for emotion estimation from EEG. Composed by the combination of two deep-learing models learning together (RNN and CNN) with
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Adapter-BERT: Parameter-Efficient Transfer Learning for NLP.
Noether Networks: meta-learning useful conserved quantities This repository contains the code necessary to reproduce experiments from "Noether Network
UP-DETR: Unsupervised Pre-training for Object Detection with Transformers This is the official PyTorch implementation and models for UP-DETR paper: @a
TransGAN: Two Transformers Can Make One Strong GAN [YouTube Video] Paper Authors: Yifan Jiang, Shiyu Chang, Zhangyang Wang CVPR 2021 This is re-implem
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