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
CatBoost is an open-source gradient boosting on decision trees library with categorical features support out of the box for Python, R
Catching Synchronized Behavior in Large Directed Graphs (KDD 2014)
A Matlab implementation for the paper: "Learning 3D Deformation of Animals from 2D Images" http://www.umiacs.umd.edu/~kanazawa/papers/cat_eg2016.pdf
A working implementation of the Categorical DQN (Distributional RL).
Code for "Category-Specific Object Reconstruction from a Single Image" CVPR 2015.
An R package for causal inference in time series
Code for the Recsys 2018 paper entitled Causal Embeddings for Recommandation.
The goal of this project is to implement a Question Answering (QA) system that answers causal type questions. We use Wikipedia as a knowledge base, extracting answers to user questions from the articles.
Code for <Unsupervised Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training> in ECCV18.
AlphaZero implemented Chinese chess. AlphaGo Zero / AlphaZero实践项目,实现**象棋。
Counting CNN and Hydra CNN
[ICCV 2015] Framework for optimizing CNNs with linear constraints for Semantic Segmentation
"Unified Deep Supervised Domain Adaptation and Generalization" (ICCV 2017)
Source code for https://arxiv.org/abs/1709.03019
PyTorch implementation of Conditional Deep Convolutional Generative Adversarial Networks (cDCGAN)
Implementation of the Paper "Learning Continuous and Data-Driven Molecular Descriptors by Translating Equivalent Chemical Representations" by Robin Winter, Floriane Montanari, Frank Noe and Djork-Arne Clevert.
Code for 'Collaborative Deep Learning for Recommender Systems' - SIGKDD
Code for our ECCV 2018 work.
Consensus Based Distributed Stochastic Gradient Descent
Convolutional Deep Semantic Similarity Model
📝 Official Implementation of "End-to-End Text Classification via Image-based Embedding using Character-level Networks"
Deep learning course CE7454, 2019
Implementation of ICCV 2017 paper "A Generic Deep Architecture for Single Image Reflection Removal and Image Smoothing"
[SIGIR 2022] CenterCLIP: Token Clustering for Efficient Text-Video Retrieval. Also, a text-video retrieval toolbox based on CLIP + fast pyav video decoding.
Object detection, 3D detection, and pose estimation using center point detection:
Machine Learning Time-Series Platform
Causal Effect Inference with Deep Latent-Variable Models
Implementation of Collaborative Variational Autoencoder for Recommder Systems KDD 2017
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.