shubhampachori12110095 Goto Github PK
Name: Shubham Pachori
Type: User
Bio: Learning to extract signal from noise.
Location: Somewhere in India
Name: Shubham Pachori
Type: User
Bio: Learning to extract signal from noise.
Location: Somewhere in India
Attentive Generative Adversarial Network for Raindrop Removal from A Single Image (CVPR 2018)
深度学习 检测异常 URL | Request (比较 Bi-LSTM、Bi-LSTM + CNN、CNN + Bi-LSTM、Bi-LSTM + Attention、CNN + Bi-LSTM + CNN 模型)
项目并无多少实际效用,纯粹做来玩。做了ML和DL两个特征提取,分别使用了各种机器学习模型和基于Attention的LSTM。
The implementation of an algorithm presented in the CVPR18 paper: "Detect-and-Track: Efficient Pose Estimation in Videos"
Hierarchical Object Detection with Deep Reinforcement Learning
Evaluation of detection performance, recall, and repeatability of detection proposal algorithms
Detectorch - detectron for PyTorch
Fast supervised sentence boundary detection using the averaged perceptron
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Implementation of the TradingView Charting Library JS API for DEUS Swap data.
Deep Extreme Cut http://www.vision.ee.ethz.ch/~cvlsegmentation/dextr
Discriminative Filters for Depth from Defocus
implementation of "Learning a Discriminative Filter Bank within a CNN for Fine-grained Recognition"
DFLsklearn is a software for the optimization of any given algorithm/method/estimator depending on hyperparameters. It is provided with an interface for automatically optimizing the hyperparameters of sklearn estimators. A detailed documentation page is available at http://mida.dima.unige.it/dflsklearn/
Discrete Factorization Machines
Domain Guided Dropout for Person Re-identification
Rethinking Knowledge Graph Propagation for Zero-Shot Learning, in CVPR 2019
Generic framework for historical document processing
Evaluate your dialog model with 17 metrics! (see paper)
A list of recent papers regarding dialogue generation
Code and data for paper "Dialog Intent Induction with Deep Multi-View Clustering", Hugh Perkins and Yi Yang, 2019, EMNLP 2019
An end to end neural Dialog model using LSTM and Attention mechanism.
Dialog State Tracking using End-to-End Neural Networks
Open Domain Dialogue System based on seq2seq
Generate Diverse Counterfactual Explanations for any machine learning model.
The official implementation of "Disentangling User Interest and Conformity for Recommendation with Causal Embedding" (WWW '21)
DICTOL - A Dictionary Learning Toolbox in Matlab and Python
A Python implementation of well-known dictionary learning methods.
Solution to DidiTech2016 problem using Random Forest.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.