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12 Weeks, 24 Lessons, AI for All!
CVPR2023: AttriCLIP: A Non-Incremental Learner for Incremental Knowledge Learning
Official Implementation of CVPR 2022 workshop paper "CNLL: A Semi-supervised Approach for Continual Noisy Label Learning"
PyTorch implementation of following: Transfer Learning, Feature Extraction from deep network, k-NN
Section-1 have following implementations: 1. Histogram Computation 2. Connected Component analysis 3. Image text extraction 4. Otsu binarization
Neural Style Transfer is one of the latest and most fascinating Deep Learning based application, in which we transfer style of one image to the content of another image using deep learning based on VGG-19 architecture. The result is a new image that combines the content of one image with the style of another.
Segmentation based on similarity measure including Intensity difference and Distance of pixels. Also effect of rotation and addition of gaussian noise on segmentation is visualized using Matplotlib.
Translation models for 22 scheduled languages of India
ViT, Prompt learning
Basic Machine Learning implementation with python
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Resources for Nepali Natural Language Processing
Translation task using NLP
Everything related to the reading group.
'Oculus' mean Vision. This project deals with customized object detection viz. Cars, Stop Signs, animals, Person, Vehicles. Implemented using YOLOv4(You Only Look Once) algorithm, which was trained through custom weights specific to this application only.
PyTorch implementation of the classical optical flow visualization by Baker et al. [ICCV 2007].
TSNE is state of art method for visualization of data and PCA is also used for visualization of higher dimensional data by finding the most dominant eigen vectors
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
Implementation of Scale Invariant Feature Transform(SIFT) for feature detection
A PyTorch implementation of SimCLR based on ICML 2020 paper "A Simple Framework for Contrastive Learning of Visual Representations"
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.