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This project aims at creating adverserial examples for some baseline sentence embedding models.
AlexNet implementation by Tensorflow.
Release of CIFAR-10.1, a new test set for CIFAR-10.
Pretrained models on CIFAR10/100 in PyTorch
A challenge to explore adversarial robustness of neural networks on CIFAR10.
Asgn for Yuge Data Systems Course
This repository contains all the code for the big data course project.
Distributed Training for ML Jobs
the task is to learn representative vectors for a document and words
The fast.ai deep learning library, lessons, and tutorials
This project aims at finding and analysing impact of possible factors that influence the probability of a keyword getting clicked. The information from these factors is being used as a feedback for different analyzers..
Official TensorFlow Implementation of Adversarial Training for Free! which trains robust models at no extra cost compared to natural training.
PyTorch Implementation of Adversarial Training for Free!
just another sherlock fan
Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning
The project focuses on categorization of Urls and keywords into their correct Google categories(a standard set of categories by Google used in Ad-exchange networks).
Sentence embeddings (InferSent) and training code for NLI.
Code and models from the paper "Layer Normalization"
Leetcode questions (Company-wise, Paradigm-wise and much more)
This is a repository containing the list of company wise questions available on leetcode premium
Hackable implementation of state-of-the-art open-source LLMs based on nanoGPT. Supports flash attention, 4-bit and 8-bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.
Models and examples built with TensorFlow
The project aims at ranking different commercial products from ebay and amazon to be displayed on a webpage using Ranknet and LamndaRank
Proper implementation of ResNet-s for CIFAR10/100 in pytorch that matches description of the original paper.
Simple Tensorflow implementation of pre-activation ResNet18, 34, 50, 101, 152
Semisupervised learning for adversarial robustness https://arxiv.org/pdf/1905.13736.pdf
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.