ankur219
Follow
Lists (1)
Stars
Extracting Film Thickness and Optical Constants from Spectrophotometric Data by Evolutionary Optimization
A simple way to keep track of an Exponential Moving Average (EMA) version of your Pytorch model
Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"
😎 A curated list of awesome lists across all machine learning topics. | 机器学习/深度学习/人工智能一切主题 (学习范式/任务/应用/模型/道德/交叉学科/数据集/框架/教程) 的资源列表汇总。
You Only Look Once for Panopitic Driving Perception.（MIR2022）
Google Research
A collection of machine learning courses.
Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.
Official Implementation of Few-shot Visual Relationship Co-localization
A simple convolutional neural network for single image super-resolution
Official PyTorch implementation of Multilogue-Net (Best paper runner-up at Challenge-HML @ ACL 2020)
An interactive mesh viewer (for '.obj' files) using OpenGL and GLSL
A physically-based Monte Carlo Path Tracer (Ray Tracer) from scratch
A real time Multimodal Emotion Recognition web app for text, sound and video inputs
Implemented corner pooling on top of simple U-Net model for MNIST dataset
Unofficial Implementation of "Unsupervised Image Super-Resolution using Cycle-in-Cycle Generative Adversarial Networks" in CVPR 2018.
Image restoration with neural networks but without learning.
Apply Waseerstein GAN into SRGAN, a deep learning super resolution model
implementation for paper "ShelfNet for fast semantic segmentation"
ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
PyTorch implementations of Generative Adversarial Networks.
Increasing Fine-Scale Temperature Details from Weather Model Forecasts Using Computer Vision Super-Resolution
Stochastic, Recurrent Super-resolution GAN For Downscaling Time-evolving Fields