Stars
DeepEP: an efficient expert-parallel communication library
Use LLMs for building real-world apps
GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
🦜🔗 Build context-aware reasoning applications
Sample CloudFormation templates and architecture for AWS Service Catalog
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
Beyond Accuracy: Behavioral Testing of NLP models with CheckList
this is where we share notebooks/projects used in your youtube channel
Getting recommendations from natural language
The ntentional blog - a machine learning journey
Recursively merge yaml files without external dependencies
Language-Agnostic SEntence Representations
A compiler for APIs described by the OpenAPI Specification with plugins for code generation and other API support tasks.
A Chrome extension that adds a 3d photo effect to instagram pages.
The Google Cloud Developer's Cheat Sheet
Codebase for "SLIDE : In Defense of Smart Algorithms over Hardware Acceleration for Large-Scale Deep Learning Systems"
Papers & presentation materials from Hugging Face's internal science day
FastAPI framework, high performance, easy to learn, fast to code, ready for production
A few exercises for use at events.
Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"
Streamlit — A faster way to build and share data apps.
tralfamadude / bert
Forked from google-research/bertTensorFlow code and pre-trained models for BERT
Datasets, tools, and benchmarks for representation learning of code.
🛠 All-in-one web-based IDE specialized for machine learning and data science.
A system for quickly generating training data with weak supervision
BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)