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This repository is an implementation for the loss function proposed in https://arxiv.org/pdf/2110.06848.pdf.
Test Suites for Validating ML Models & Data. Deepchecks is a Python package for comprehensively validating your machine learning models and data with minimal effort.
Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using ⚡ Pytorch Lightning and 🤗 Transformers. For access to our API, please email us at [email protected].
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Code for the NAACL 2022 long paper "DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings"
An implementation of a deep learning recommendation model (DLRM)
Development repository for integrating FlexFlow (A distributed deep learning framework that supports flexible parallelization strategies) with DLRM (Deep Learning Recommendation Model)
Set of datasets for the deep learning recommendation model (DLRM).
Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)
A Visual Analysis Tool to Explore Learned Representations in Transformers Models
Visualizations for machine learning datasets
The world's simplest facial recognition api for Python and the command line
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
A library for efficient similarity search and clustering of dense vectors.
Super easy library for BERT based NLP models
FastFormers - highly efficient transformer models for NLU
Feature Store for Machine Learning
A workshop with several modules to help learn Feast, an open-source feature store
Firehose is an extensible, no-code, and cloud-native service to load real-time streaming data from Kafka to data stores, data lakes, and analytical storage systems.
Materials (slides, code, assignments) for the NYU class I teach on NLP and ML Systems (Master of Engineering).
Machine Learning with Graphs (CS 224W) Project on OGB-Node Amazon Products Multiclass Dataset
Google Research
[FPGA 2020] Open sourced implementation for the ACM/SIGDA FPGA '20 paper titled "GraphACT: Accelerating GCN Training on CPU-FPGA Heterogeneous Platforms"
The dgl implementation of GraphSaint
[ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive Learning Method).
Guardian is a tool for extensible and universal data access with automated access workflows and security controls across data stores, analytical systems, and cloud products.
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.