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
The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"
Human Resources Dashboard
Kaggle Humpback Whale Identification Challenge 2019 2nd place code
A dialect of Lisp that's embedded in Python
Caffe implementation of "Hybrid-Attention based Decoupled Metric Learning for Zero-Shot Image Retrieval"
Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization
HGSADC is a metaheuristic to solve the multi-depot vehicle routing problem.
Dataset and code for paper "HybridQA: A Dataset of Multi-Hop Question Answeringover Tabular and Textual Data"
:atom: Run code interactively, inspect data, and plot. All the power of Jupyter kernels, inside your favorite text editor.
Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
Tuning hyperparams fast with Hyperband
Supplementary code for the paper "Hyperbolic Image Embeddings".
Official Python SDK for Hyperdash
Code for "M. Zhang, Z. Cui, S. Jiang, and Y. Chen, Beyond Link Prediction: Predicting Hyperlinks in Adjacency Space, AAAI-2018".
Hearst Patterns Revisited: Automatic Hypernym Detection from Large Text Corpora
Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task. Monitoring with TensorBoard. Other visualizations available.
Hyperparameter optimization for neural networks
Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
Reference Implementation for WSDM 2018 Paper "Hyperbolic Representation Learning for Fast and Efficient Neural Question Answering"
A python toolbox for gaining geometric insights into high-dimensional data
TensorFlow code for finetuning I3D model on UCF101.
This is an i3d version which can be used to finetune on other video dataset.
TensorFlow code for finetuning on your own dataset.
Code for reproducing key results in the paper "Improving Variational Inference with Inverse Autoregressive Flow"
Pytorch Implementation of OpenAI's "Improved Variational Inference with Inverse Autoregressive Flow"
lstm with prefix attention
A pandas-like deferred expression system, with first-class SQL support (Impala, PostgreSQL, SQLite, ...)
Volatility trading using Long and Short Straddle options strategies on Interactive Broker using Yahoo Finance and TWS API
Instance-Batch Normalization Networks (ECCV2018)
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.