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Name: Harish Babu Manogaran
Type: User
Name: Harish Babu Manogaran
Type: User
Embedded AI solution to aid people with visual impairement involved in research by converting equations and texts from scientific books into Nemeth-Braille
Chess game built in C++
a state-of-the-art-level open visual language model | 多模态预训练模型
Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.
Fork of [NeurIPS'2023] Official Code Repo:Diffusion-Based Adversarial Sample Generation for Improved Stealthiness and Controllability
source code for ICASSP 2022 paper: EmotionFlow: Capture the Dialogue Level Emotion Transitions
Tensorflow implementation of the HarvardNLP paper - What You Get Is What You See: A Visual Markup Decompiler (https://arxiv.org/pdf/1609.04938v1.pdf)
TensorFlow-2 implementation of Im2Latex deep learning model described in HarvardNLP paper "What You Get Is What You See: A Visual Markup Decompiler"
Crop Caltech-UCSD-Birds_200_2011 dataset for classification
Code for "Interpretable Image Recognition with Hierarchical Prototypes"
Fork of the official implementation for [ICLR'24] INTR: Interpretable Transformer for Fine-grained Image Classification.
All Algorithms implemented in Java
A fully functioning chess engine
Fork of PyTorch implementation of "MetaFormer: A Unified Meta Framework for Fine-Grained Recognition". A reference PyTorch implementation of “CoAtNet: Marrying Convolution and Attention for All Data Sizes”
Models and examples built with TensorFlow
Open Source Computer Vision Library
Protocol Buffers - Google's data interchange format
This code package implements the prototypical part network (ProtoPNet) from the paper "This Looks Like That: Deep Learning for Interpretable Image Recognition"
Code for "Interpretable image classification with differentiable prototypes assignment", ECCV 2022
GitHub repository for KDD 2021 work: ProtoPShare: Prototypical Parts Sharing for Similarity Discovery in Interpretable Image Classification
ProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
Taming Transformers for High-Resolution Image Synthesis
Tensorflow-in-Practice-Specialization
ICCV2021 paper: Interpretable Image Recognition by Constructing Transparent Embedding Space (TesNet)
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.