scottyih
Scott Wen-tau Yih is a Research Scientist at Meta AI - FAIR. His main research interest is natural language processing.
@facebookresearch Seattle, WA
scottyih's Stars
kevinwu23/SourceCheckup
infiniflow/ragflow
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
jbmouret/matplotlib_for_papers
Handout for the tutorial "Creating publication-quality figures with matplotlib"
huawei-noah/Pretrained-Language-Model
Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.
soulmachine/machine-learning-cheat-sheet
Classical equations and diagrams in machine learning
facebookresearch/multihop_dense_retrieval
Multi-hop dense retrieval for question answering
yuchenlin/rebiber
A simple tool to update bib entries with their official information (e.g., DBLP or the ACL anthology).
keroro824/HashingDeepLearning
Codebase for "SLIDE : In Defense of Smart Algorithms over Hardware Acceleration for Large-Scale Deep Learning Systems"
getkeops/keops
KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
PAIR-code/lit
The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.
facebookresearch/DPR
Dense Passage Retriever - is a set of tools and models for open domain Q&A task.
deepset-ai/haystack
AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
facebookresearch/LAMA
LAnguage Model Analysis
facebookresearch/hydra
Hydra is a framework for elegantly configuring complex applications
kakaobrain/torchgpipe
A GPipe implementation in PyTorch
YujiaBao/R2A
"Deriving Machine Attention from Human Rationales" EMNLP 2018
google-research/bert
TensorFlow code and pre-trained models for BERT
microsoft/DynSP
Search-based-Neural-Structured-Learning-for-Sequential-Question-Answering
facebookresearch/ParlAI
A framework for training and evaluating AI models on a variety of openly available dialogue datasets.
facebookresearch/faiss
A library for efficient similarity search and clustering of dense vectors.
pytorch/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
BIDData/BIDMach
CPU and GPU-accelerated Machine Learning Library
tensorflow/fold
Deep learning with dynamic computation graphs in TensorFlow