Stars
Fully open data curation for reasoning models
Simple backup and restore for Amazon DynamoDB using AWS SDK for Python (boto3)
Train transformer language models with reinforcement learning.
end-to-end data engineering project to get insights from PyPi using python, duckdb, MotherDuck & Evidence
TypeScript-first schema validation with static type inference
The open-source, cross-platform API client for GraphQL, REST, WebSockets, SSE and gRPC. With Cloud, Local and Git storage.
A collection of awesome things regarding React ecosystem
The fastest way to develop full-stack web apps with React & Node.js.
🦜🔗 Build context-aware reasoning applications
Tensors and Dynamic neural networks in Python with strong GPU acceleration
An AI-Powered assistant for Kubernetes developers
A module to generate Python typings from a GrapqhQL schema
Architecture decision record (ADR) examples for software planning, IT leadership, and template documentation
Multi-dimensional arrays (tensors) and numerical definitions for Elixir
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
A Python package to build predictive linear and logistic regression models focused on performance and interpretation
The fastai book, published as Jupyter Notebooks
Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI
Based on the Pytorch-Transformers library by HuggingFace. To be used as a starting point for employing Transformer models in text classification tasks. Contains code to easily train BERT, XLNet, Ro…
🇳🇱🇧🇪🇸🇷 Dutch word list by OpenTaal
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.