Popular GitHub Repositories for Central Sulcus

Nerdlog: fast, remote-first, multi-host TUI log viewer with timeline histogram and no central server

Central place for the engineering/scaling WG: documentation, SLURM scripts and logs, compute environment and data.

A central, open resource for data and tools related to chain-of-thought reasoning in large language models. Developed @ Samwald research group: https://samwald.info/

A Model Context Protocol (MCP) Gateway. Serves as a central management point for tools, resources, and prompts that can be accessed by MCP-compatible LLM applications. Converts REST API endpoints to MCP, composes virtual MCP servers with added security and observability, and converts between protocols (stdio, SSE).

SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.

【ICLR 2024?】 Extending Video-Language Pretraining to N-modality by Language-based Semantic Alignment

NyaProxy acts like a smart, central manager for accessing various online services (APIs) – think AI tools (like OpenAI, Gemini, Anthropic), image generators, or almost any web service that uses access keys. It helps you use these services more reliably, efficiently, and securely.

A joint community effort to create one central leaderboard for LLMs.

Build, test and manage your AI Agents in the central place.

NLP framework in python for entity recognition and relationship extraction

P2PFL is a decentralized federated learning library that enables federated learning on peer-to-peer networks using gossip protocols, making collaborative AI model training possible without reliance on central servers.

生物医学模型上下文协议

Central Moment Discrepancy for Domain-Invariant Representation Learning (ICLR 2017, keras)

? A central GitHub repository for sharing Core ML models

Central repository for all lectures on deep learning at UPC ETSETB TelecomBCN.

Credo AI Lens is a comprehensive assessment framework for AI systems. Lens standardizes model and data assessment, and acts as a central gateway to assessments created in the open source community.

In this repository, I have developed an end to end Automatic speech recognition project. I have developed the neural network model for automatic speech recognition with PyTorch and used MLflow to manage the ML lifecycle, including experimentation, reproducibility, deployment, and a central model registry.

A custom RAG-LLM model to analyse central banking forecasts

PointCT: Point Central Transformer Network for Weakly-supervised Point Cloud Semantic Segmentation (WACV 2024)

Chapter 11: Transfer Learning/Domain Adaptation