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
ICCV2019 - A painting AI that can reproduce paintings stroke by stroke using deep reinforcement learning.
PKU Team Zero's code for participation in ICDAR2019 ArT Recognition track (Champion)
Intelligent Conversation Engine: Code and Pre-trained Systems. Version 0.2.0.
Invertible conditional GANs for image editing
Sentiment Analysis with Ensemble
Python code for training all models in the ICLR paper, "Towards Universal Paraphrastic Sentence Embeddings". These models achieve strong performance on semantic similarity tasks without any training or tuning on the training data for those tasks. They also can produce features that are at least as discriminative as skip-thought vectors for semantic similarity tasks at a minimum. Moreover, this code can achieve state-of-the-art results on entailment and sentiment tasks.
ICLR Reproducibility Challenge 2019
ICME2019&字节跳动 短视频内容理解与推荐竞赛rank14方案
Junction Tree Variational Autoencoder for Molecular Graph Generation (ICML 2018)
Generative Adversarial Text-to-Image Synthesis
ICNet for Real-Time Semantic Segmentation on High-Resolution Images
Set of exercises accompanying the ICRA 2019 Tutorial on Dynamical System based Learning from Demonstration: https://epfl-lasa.github.io/TutorialICRA2019.io/
C# kernel for Jupyter
example code for "Large-scale social media analysis with Hadoop" tutorial presented at ICWSM 2010
**象棋alpha zero程序
Image De-raining Using a Conditional Generative Adversarial Network
IoT intrusion Detection Model based on neural network and random forests
Information Extraction in Python
Demonstration code for missing data imputation using Variational Autoencoders (VAE)
Interactive Image Generation via Generative Adversarial Networks
image to column
Image Captioning using LSTM-RNN and attention model. Based on im2txt package.
An attempt to train a Tensorflow convnet to provide machine guided image aesthetics
Generate image analogies using neural matching and blending.
A reproduction of the results of 'Estimating Spatially Varying Defocus Blur From A Single Image' by Zhu et. al.
Implementations of an image captioning model, built in Keras and Tensorflow.
A Neural Network based generative model for captioning images using Tensorflow
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.