adarsh-kr
Founding ML/NLP Engineer | Past: Alexa Search-Amazon, Microsoft Bing, UW Madison, IIT Guwahati
University of Wisconsin, MadisonSan Francisco, CA
adarsh-kr's Stars
nexusflowai/NexusRaven
NexusRaven-13B, a new SOTA Open-Source LLM for function calling. This repo contains everything for reproducing our evaluation on NexusRaven-13B and baselines.
leptonai/leptonai
A Pythonic framework to simplify AI service building
lm-sys/FastChat
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
guidance-ai/guidance
A guidance language for controlling large language models.
EleutherAI/the-pile
metarank/metarank
A low code Machine Learning personalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friendly Learn-to-Rank engine
NTMC-Community/MatchZoo
Facilitating the design, comparison and sharing of deep text matching models.
google-research/google-research
Google Research
GoogleCloudPlatform/microservices-demo
Sample cloud-first application with 10 microservices showcasing Kubernetes, Istio, and gRPC.
knrt10/kubernetes-basicLearning
Understand kubernetes step by step. A simple repo for beginners :fire:
the-full-stack/website
Source for https://fullstackdeeplearning.com
awslabs/deequ
Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.
recommenders-team/recommenders
Best Practices on Recommendation Systems
allenai/natural-instructions
Expanding natural instructions
beir-cellar/beir
A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.
harpribot/awesome-information-retrieval
A curated list of awesome information retrieval resources
erikbern/ann-benchmarks
Benchmarks of approximate nearest neighbor libraries in Python
stanford-crfm/mistral
Mistral: A strong, northwesterly wind: Framework for transparent and accessible large-scale language model training, built with Hugging Face 🤗 Transformers.
thunlp/PLMpapers
Must-read Papers on pre-trained language models.
EthicalML/awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
deepset-ai/haystack
:mag: LLM 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/fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
matryer/xbar
Put the output from any script or program into your macOS Menu Bar (the BitBar reboot)
facebookresearch/hydra
Hydra is a framework for elegantly configuring complex applications
goel96vibhor/AdvWeightPerturbations
deepset-ai/FARM
:house_with_garden: Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.
mathiasbynens/dotfiles
:wrench: .files, including ~/.macos — sensible hacker defaults for macOS
notable/notable
The Markdown-based note-taking app that doesn't suck.
mtrazzi/rl-book-challenge
self-studying the Sutton & Barto the hard way
lixin4ever/Conference-Acceptance-Rate
Acceptance rates for the major AI conferences