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Name: rsadhukhan
Type: User
Bio: Research Fellow at Microsoft Research India
Name: rsadhukhan
Type: User
Bio: Research Fellow at Microsoft Research India
A novel embedding training algorithm leveraging ANN search and achieved SOTA retrieval on Trec DL 2019 and OpenQA benchmarks
nucleus/cell and histopathology image classification,detection,segmentation
A framework for the evaluation of autoregressive code generation language models.
This is the code for the "Classifying Data using Gradient Descent" by Siraj Raval on Youtube
My 5th place (out of 816 teams) solution to The 2018 Data Science Bowl organized by Booz Allen Hamilton
Scalable graph based indices for approximate nearest neighbor search
Neural Net for Nuclei Segmentation
This repository contains the code necessary in order to reproduce the work contained in the submitted paper: "Segmentation of Nuclei in Histopathology Images by deep regression of the distance map".
A library for efficient similarity search and clustering of dense vectors.
Simple and efficient pytorch-native transformer text generation in <1000 LOC of python.
Hierarchical Self Decomposing CNNs
Codes for the paper "βBench: Extending Long Context Evaluation Beyond 100K Tokens": https://arxiv.org/abs/2402.13718
Knowledge Distillation Inspired Fine-Tuning Of Tensor Decomposed CNNS
ICML 2024: Less: Selecting Influential Data for Targeted Instruction Tuning
LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks
Webapp of Mattermost server: https://github.com/mattermost/mattermost-server
Implementation of Memorizing Transformers (ICLR 2022), attention net augmented with indexing and retrieval of memories using approximate nearest neighbors, in Pytorch
Single Image Depth Estimation with Feature Pyramid Network
Implemented Nucleus segmentation in digital pathological images using ReLayNet. Challenge link: http://miccai.cloudapp.net/competitions/83
Object Detection Framework using HOG as descriptor and Linear SVM as classifier.
An Open-Source Package for Information Retrieval
This is Pytorch re-implementation of our CVPR 2020 paper "Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation" (https://arxiv.org/abs/1911.10194)
Feature Pyramid Networks written by Pytorch
Pytorch implementation of the U-Net for image semantic segmentation, with dense CRF post-processing
TorchCV: a PyTorch vision library mimics ChainerCV
TriForce: Lossless Acceleration of Long Sequence Generation with Hierarchical Speculative Decoding
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π 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. πππ
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 β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.