6597 Open source projects that are alternatives of or similar to Srflow

Patch-base progressive 3D Point Set Upsampling

computational zoom from raw sensor data

Official PyTorch Implementation for "Rotate to Attend: Convolutional Triplet Attention Module." [WACV 2021]

ENet - A Neural Net Architecture for real time Semantic Segmentation

Pytorch implementation of HighRes-net, a neural network for multi-frame super-resolution, trained and tested on the European Space Agency’s Kelvin competition.

https://arxiv.org/abs/1707.00836

Natural Language Processing Tutorial for Deep Learning Researchers

Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution

Image Super-Resolution Using SRCNN, DRRN, SRGAN, CGAN in Pytorch

A Collection of Papers and Codes for ICCV2021 Low Level Vision and Image Generation

A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.

Action recognition using soft attention based deep recurrent neural networks

Statistics and Visualization of acceptance rate, main keyword of CVPR 2019 accepted papers for the main Computer Vision conference (CVPR)

The official pytorch implemention of the CVPR paper "Temporal Modulation Network for Controllable Space-Time Video Super-Resolution".

Awesome Resources for Advanced Computer Vision Topics

Image Deblurring using Generative Adversarial Networks

A stable algorithm for GAN training

Small library containing various image processing algorithms (+ Python 3 bindings) that has almost no dependencies -- Moved to Gnome's Gitlab

A TensorFlow implementation of DeepMind's Differential Neural Computers (DNC)

computer vision learning, include python machine learning action; computer vision based on deep learning ;coursera deeplearning.ai and other cv learning materials collect ...

StarNet

Reproduce research from paper "Predicting the direction of stock market prices using random forest"

Notes and Summaries on ML-related Research Papers (with optional implementations)

VDSR (CVPR2016) pytorch implementation

Paper reading notes on Deep Learning and Machine Learning

Music recommender using deep learning with Keras and TensorFlow

Working with and analyzing Wikipedia Data

Abuse of Google Colab for cracking hashes. 🐧

Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy. ICAIF 2020. Please star.

Digital Signal Processing - Theory and Computational Examples

Wining solution and its improvement for MICCAI 2017 Robotic Instrument Segmentation Sub-Challenge

Silero Models: pre-trained STT models and benchmarks made embarrassingly simple

A Jupyter notebook viewer for macOS

TernausNetV2: Fully Convolutional Network for Instance Segmentation

Tensorflow implementation of paper: Learning to Diagnose with LSTM Recurrent Neural Networks.

Enabling journalists, citizen scientists, humanitarian workers and others to detect “patterns of interest” in satellite imagery.

Deliberate Practice for Learning Python

本仓库将PyTorch官方书籍《Deep learning with PyTorch》（基本摘录版）翻译成中文版并给出可运行的相关代码。

A multi-task learning example for the paper https://arxiv.org/abs/1705.07115

基于深度学习的开源中文关系抽取框架

Data Science Notebook on a Classification Task, using sklearn and Tensorflow.

Hands-On Reinforcement Learning with Python, published by Packt

The goal of this library is to generate more helpful exception messages for numpy/pytorch matrix algebra expressions.

A template for small scientific python projects

Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains

Machine learning for transportation data imputation and prediction.

LabNotebook is a tool that allows you to flexibly monitor, record, save, and query all your machine learning experiments.

Official repository for the paper "High-Resolution Daytime Translation Without Domain Labels" (CVPR2020, Oral)

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

On self sovereign human identity.

Labs and demos for courses for GCP Training (http://cloud.google.com/training).

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks

A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.

Automatically generate headlines to short articles

A repository containing tutorials for practical NLP using PyTorch

Sentiment Analysis Challenge

Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies. An increasing number of SOTA Quant research works/papers are released in Qlib.

A collection of notebooks for Natural Language Processing from NLP Town