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
An unofficial and partial Keras implementation of "Noise2Noise: Learning Image Restoration without Clean Data"
TRAINING DEEP NEURAL-NETWORKS USING A NOISE ADAPTATION LAYER
Pytorch Implementation of paper "Noisy Natural Gradient as Variational Inference"
Noisy Networks for Exploration
Instagram Clone with Python + Django + Django Rest Framework + React + Redux
Non-distributional linguistic word vector representations.
PyTorch Implementation of "Non-Autoregressive Neural Machine Translation"
Official Code for "Non-deep Networks"
[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning
Tutorial on normalizing flows.
NormFace: L2 HyperSphere Embedding for Face Verification, 99.21% on LFW
collection of iPython notebooks
Jupyter notebooks for the Natural Language Processing with Transformers book
A client and server for sending notifications to your own phone or desktop.
Detect novel anomalies on Twitter
the code from research paper "Efficient Non-parametric Estimation of Multiple Embeddings per Word in Vector Space" by Arvind Neelakantan* , Jeevan Shankar* , Alexandre Passos, Andrew McCallum
Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search
The original implementation of Min et al. "Nonparametric Masked Language Modeling" (paper https//arxiv.org/abs/2212.01349)
Towards Neural Phrase-based Machine Translation
neural question generation for reading comprehension
Nuclear Renewable Hybrid Energy System simulation using MATLAB Simulink.
Neural relational inference for interacting systems - pytorch
Must-read papers on network representation learning (NRL) / network embedding (NE)
Neural Sampler
Neural Sentiment Classification
PyTorch code for the Neuro-Symbolic Concept Learner (NS-CL).
SIGIR2017: Item Silk Road: Recommending Items from Information Domains to Social Users
Neural Scene De-rendering
Python Library to get publicly available data on NSE website ie. stock quotes, historical data, live indices
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.