Suraj Rajan skrcode
Stars
Fast, local, lossless JSON formatting and correctness checks for developers, CI, and coding agents.
IntelliJ experiment for AI-assisted Java unit-test generation and verification.
π LangGraph for Java is a library for Graph Engineering, designed to build sophisticated AI agentic architectures within the Java ecosystem. It works seamlessly with both Langchain4j and Spring AI.
A cloud service that enables Cordova and React Native developers to deploy mobile app updates directly to their usersβ devices.
React Native module for CodePush
A drag-and-drop-enabled FlatList for React Native
π Path to a free self-taught education in Computer Science!
Synth is CRED's inbuilt library for using Neumorphic components in your app.
Synth is CRED's inbuilt library for using Neumorphic components in your app.
Aarogya Setu Android app native code
Natural Language Processing Pipeline - Sentence Splitting, Tokenization, Lemmatization, Part-of-speech Tagging and Dependency Parsing
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
π©βπ« Advanced NLP with spaCy: A free online course
Large datasets for conversational AI
Print in ascii art a table with a tree-like structure
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
Generate embeddings from large-scale graph-structured data.
πHMTL: Hierarchical Multi-Task Learning - A State-of-the-Art neural network model for several NLP tasks based on PyTorch and AllenNLP
The interface between data scientists and developers.
π¬ Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
Tutorial on computational models of language change
π€ 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.
PyTorch original implementation of Cross-lingual Language Model Pretraining.