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Name: Thiya
Type: User
Bio: Data Scientist
Location: Bengaluru
Name: Thiya
Type: User
Bio: Data Scientist
Location: Bengaluru
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
Modern Neural Networks Meet Linguistic Theory
Lab tutorials for the MSc NLP course at the University of Groningen
IkigAI is an opensource library dedicated for debiasing algorithms and feature selection based on interpretability for Fair, efficient model development and monitoring.
Code supporting the CVPR 2017 paper "Learning Cross-modal Embeddings for Cooking Recipes and Food Images"
Implemented 3 different architectures to tackle the Image Caption problem, i.e, Merged Encoder-Decoder - Bahdanau Attention - Transformers
A comprehensive tutorial series on Image Formation and Camera Calibration in Python with example
Unoffical implementation about Image Super-Resolution via Iterative Refinement by Pytorch
基于keras集成多种图像分类模型: VGG16、VGG19、InceptionV3、Xception、MobileNet、AlexNet、LeNet、ZF_Net、ResNet18、ResNet34、ResNet50、ResNet_101、ResNet_152、DenseNet
Official Pytorch Implementation of: "ImageNet-21K Pretraining for the Masses"(NeurIPS, 2021) paper
This repository will contain the jupyter notebooks for the report on Image Retieval.
CS 679 Project Repository: Learning Efficient Autoencoders for Image Search
NVIDIA's Deep Imagination Team's PyTorch Library
AI imagined images. Pythonic generation of stable diffusion images.
Work with email by IMAP
A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.
A Python Package for Deep Imbalanced Learning
[ICML 2021, Long Talk] Delving into Deep Imbalanced Regression
Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.
:fire: Use pre-trained models in PyTorch to extract vector embeddings for any image
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
Library to explain *a dataset* using natural language and neural networks.
Official code from the paper "Offline RL for Natural Language Generation with Implicit Language Q Learning"
IMS-Toucan is a toolkit to train state-of-the-art Speech Synthesis models. Everything is pure Python and PyTorch based to keep it as simple and beginner-friendly, yet powerful as possible.
INCEpTION provides a semantic annotation platform offering intelligent annotation assistance and knowledge management.
INCOME: An Easy Repository for Training and Evaluation of Index Compression Methods in Dense Retrieval. Includes BPR and JPQ.
Pretraining, fine-tuning and evaluation scripts for Indic-Wav2Vec2
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.