alphamev-winning-submission
Top #1 Submission code for the first alphamev MEV competition with best AUC (0.9893) and MSE (0.0982).
The code won't run as it depends heavily on Azure ML - removed all private configs.
Detailed description to come.
Top #1 Submission code for the first alphamev MEV competition with best AUC (0.9893) and MSE (0.0982).
The code won't run as it depends heavily on Azure ML - removed all private configs.
Detailed description to come.
A collection of papers about Transformer in the field of medical image analysis.
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Autoregressive This repository contains all the necessary PyTorch code, tailored to my presentation, to train and generate data from WaveNet-like auto
Memory In Memory Networks It is based on the paper Memory In Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity from Spati
KeypointDeformer: Unsupervised 3D Keypoint Discovery for Shape Control Tomas Jakab, Richard Tucker, Ameesh Makadia, Jiajun Wu, Noah Snavely, Angjoo Ka
DALL-E in Pytorch Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch. It will also contain CLIP for ranking the ge
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CCPD (Chinese City Parking Dataset, ECCV) UPdate on 10/03/2019. CCPD Dataset is now updated. We are confident that images in subsets of CCPD is much m
Built a deep neural network (DNN) that functions as an end-to-end machine translation pipeline. The pipeline accepts english text as input and returns the French translation.
yolov5-helmet-detection-python A Python implementation of Yolov5 to detect head or helmet in the wild in Jetson Xavier nx and Jetson nano. In Jetson X
ESRGAN generate high quality pictures. GAN. Generative Adversarial Networks """ Super-resolution of CelebA using Generative Adversarial Networks. The
pytorch-lifestream a library built upon PyTorch for building embeddings on discrete event sequences using self-supervision. It can process terabyte-si
Sequential Recommendation Datasets This repository collects some commonly used sequential recommendation datasets in recent research papers and provid
HyperTag HyperTag helps humans intuitively express how they think about their files using tags and machine learning.
The hippynn python package - a modular library for atomistic machine learning with pytorch. We aim to provide a powerful library for the training of a
alignimation Automated image registration. Registrationimation was too much of a mouthful. This repo contains the code used for my blog post Alignimat
Revealing and Protecting Labels in Distributed Training
OrthNet TensorFlow, PyTorch and Numpy layers for generating multi-dimensional Orthogonal Polynomials 1. Installation 2. Usage 3. Polynomials 4. Base C
Convolutional Hough Matching Networks This is the implementation of the paper "Convolutional Hough Matching Network" by J. Min and M. Cho. Implemented
pyLiDAR-SLAM This codebase proposes modular light python and pytorch implementations of several LiDAR Odometry methods, which can easily be evaluated