Simple improvement of VQVAE that allow to generate x2 sized images compared to baseline. It allows to generate 512x512 images using ruDALL-E.
POC checkpoint: https://drive.google.com/file/d/1GjGXs1l0mOiFxKJwutjTQyCHEaF-wrIL/view?usp=sharing
The official code for the paper "Inverse Problems Leveraging Pre-trained Contrastive Representations" (to appear in NeurIPS 2021).
The goal of the exercises below is to evaluate the candidate knowledge and problem solving expertise regarding the main development focuses for the iFood ML Platform team: MLOps and Feature Store dev
Swahili-Speech-To-Text Table of Contents Swahili-Speech-To-Text Overview Scenario Approach Project Structure data: models: notebooks: scripts tests: l
Finding an Unsupervised Image Segmenter in each of your Deep Generative Models Description Recent research has shown that numerous human-interpretable
Nyström Attention Implementation of Nyström Self-attention, from the paper Nyströmformer. Yannic Kilcher video Install $ pip install nystrom-attention
Cluttered MNIST Dataset A setup script will download MNIST and produce mnist/*.t7 files: luajit download_mnist.lua Example usage: local mnist_clutter
Phase-SLAM A Pose Estimator for Dense Reconstruction with the Structured Light Illumination Sensor This open source is written by MATLAB Run Mode Open
pytorch-generative-model-collections Original : [Tensorflow version] Pytorch implementation of various GANs. This repository was re-implemented with r
sudoku_solver A sudoku solver What is Sudoku? Sudoku (Japanese: 数独, romanized: s
OG-SPACE Introduction Optimized Gillespie algorithm for simulating Stochastic sPAtial models of Cancer Evolution (OG-SPACE) is a computational framewo
Digitalizing-Prescription-Image PIRDS - Prescription Image Recognition and Digit
FSRE-Depth This is a Python3 / PyTorch implementation of FSRE-Depth, as described in the following paper: Fine-grained Semantics-aware Representation
Inductive entity representations from text via link prediction This repository contains the code used for the experiments in the paper "Inductive enti
FastExplain Fit Fast, Explain Fast Installing pip install fast-explain About FastExplain FastExplain provides an out-of-the-box tool for analysts to
CAT arXiv Pytorch implementation of our method for compressing image-to-image models. Teachers Do More Than Teach: Compressing Image-to-Image Models Q
Code Impementation for "Mold into a Graph: Efficient Bayesian Optimization over Mixed Spaces" This repo contains the implementation of GEBO algorithm.
CaFM-pytorch ICCV ACCEPT Introduction of dataset VSD4K Our dataset VSD4K includes 6 popular categories: game, sport, dance, vlog, interview and city.
JAXopt Installation | Examples | References Hardware accelerated (GPU/TPU), batchable and differentiable optimizers in JAX. Installation JAXopt can be
ShelfNet-lightweight for paper (ShelfNet for fast semantic segmentation) This repo contains implementation of ShelfNet-lightweight models for real-tim
EfficientNetv2_TensorRT_int8 EfficientNetv2模型实现来自https://github.com/d-li14/efficientnetv2.pytorch 环境配置 ubuntu：18.04 cuda：11.0 cudnn：8.0 tensorrt：7
26 Dec 10, 2022
0 Feb 03, 2022
2 Jan 05, 2023
61 Oct 17, 2022
95 Jan 02, 2023
50 Jul 12, 2022
14 Dec 19, 2022
2.4k Dec 31, 2022
0 May 22, 2022
0 Nov 17, 2021
2 May 11, 2022
77 Dec 28, 2022
45 Jan 09, 2023
8 Dec 15, 2022
160 Dec 09, 2022
2 Mar 22, 2022
96 Jul 05, 2022
621 Jan 08, 2023
252 Sep 16, 2022
34 Apr 24, 2022