shaonc Goto Github PK

data-structures

decoupled-contrastive-learning

This repository is an implementation for the loss function proposed in https://arxiv.org/pdf/2110.06848.pdf.

deepchecks

Test Suites for Validating ML Models & Data. Deepchecks is a Python package for comprehensively validating your machine learning models and data with minimal effort.

deployment-flask

detoxify

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].

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

diffcse

Code for the NAACL 2022 long paper "DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings"

dlrm

An implementation of a deep learning recommendation model (DLRM)

dlrm-flexflow

Development repository for integrating FlexFlow (A distributed deep learning framework that supports flexible parallelization strategies) with DLRM (Deep Learning Recommendation Model)

dlrm_datasets

Set of datasets for the deep learning recommendation model (DLRM).

dmls-book

Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)

eg3d

exbert

A Visual Analysis Tool to Explore Learned Representations in Transformers Models

facets

Visualizations for machine learning datasets

face_recognition

The world's simplest facial recognition api for Python and the command line

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

faiss

A library for efficient similarity search and clustering of dense vectors.

fast-bert

Super easy library for BERT based NLP models

fastformers

FastFormers - highly efficient transformer models for NLU

feast

Feature Store for Machine Learning

feast-workshop

A workshop with several modules to help learn Feast, an open-source feature store

feature-engineering-live-sessions

firehose

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.

free_7773

Materials (slides, code, assignments) for the NYU class I teach on NLP and ML Systems (Master of Engineering).

gnn-products

Machine Learning with Graphs (CS 224W) Project on OGB-Node Amazon Products Multiclass Dataset

google-research

Google Research

graphact

[FPGA 2020] Open sourced implementation for the ACM/SIGDA FPGA '20 paper titled "GraphACT: Accelerating GCN Training on CPU-FPGA Heterogeneous Platforms"

graphsaint

The dgl implementation of GraphSaint

graphsaint1

[ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive Learning Method).

guardian

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.