Active Learning for Text Classification in Python
[ICML 2024] TrustLLM: LLM trustworthiness evaluation across truthfulness, safety, fairness, robustness, privacy and ethics. Python/CLI toolkit for local models, compatible APIs and AI agent orchestration.
[ICLR 2026] ReCogDrive: A Reinforced Cognitive Framework for End-to-End Autonomous Driving
multilspy is a lsp client library in Python intended to be used to build applications around language servers.
ParseBench - A Document Parsing Benchmark for AI Agents
A curated collection of papers and resources on On-Policy Distillation for Large Language Models.
A flexible, adaptive classification system for dynamic text classification
Meta Agents Research Environments is a comprehensive platform designed to evaluate AI agents in dynamic, realistic scenarios. Unlike static benchmarks, this platform introduces evolving environments where agents must adapt their strategies as new information becomes available, mirroring real-world challenges.
Pax is a Jax-based machine learning framework for training large scale models. Pax allows for advanced and fully configurable experimentation and parallelization, and has demonstrated industry leading model flop utilization rates.
Universal LLM Gateway: One API, every LLM. OpenAI/Anthropic-compatible endpoints with multi-provider translation and intelligent load-balancing.
Robotics vision SDK
Code as World: Agentic Discovery of Executable World Representations for Physical Reasoning
TLive-Omni: An Omni-Modal Understanding Model for E-Commerce Live Streaming
A small proof-of-concept language model (not an LLM) that aims to incorporate latent-space prediction, internal state using recurrent trace units, and byte-by-byte output, built with MLX.
The companion AI agent that learns, adapts and gets the work done no matter the task
S-Space: Exploring Spatial Workspace in Multimodal Models
[NeurIPS 2026] State of Thought Enables Endogenous Reasoning
[COLMW'26 Spotlight] AdaFlash: Adaptive Speculative Decoding via On-Policy Distilled Diffusion Drafters
OmniCompass: A Holistic Benchmark for Omni-Modal Video Grounding and Understanding
Open-source code for training and scaling up energy-based foundation models.
π§ͺ Awesome list of AI Scientist papers, systems, benchmarks, datasets and open-source platforms.
Open-source financial multimodal LLM for document understanding, chart/table reasoning, numerical reasoning, and financial analysis, with SFT, dual-branch RL, MOPD distillation, and public benchmark evaluation.
STEPQuant: When and Where Errors Matter in Delta-Rule Recurrent State Quantization
This repository provides a starter kit for sports intelligence built on NVIDIA AI stack: playbooks, training recipes, and inference for Multimodal Language Models.
PrismQuant: Optimal Null-Space Rotations for Grouped Quantizers
Tools Are Not Islands: Set-Level Tool Retrieval for LLM Agents via Query-Conditioned Hyperedge Prediction
Open Sensor-Language-Action (SLA) Models
Unified reproductions, benchmarking & evaluation for perception-aware RLVR and OPD in VLMs. 19 methods Β· 30+ benchmarks Β· Official code of CGPO (ACM MM 2026 Oral).
Myrtia β agent-native red teaming for LLMs and AI agents: a deliberating council of attacker models (propose, cross-critique, Borda vote, chairman synthesis), 13 attack strategies, live turn-by-turn UI and ASR analytics. Open-source, built on IBM ARES.
A tiny jev-like model that answers Choice, Score and Noul questions in one forward pass and returns calibrated probabilities. MLX or PyTorch, fully offline, System One compatible.
A curated paper list on On-Policy Distillation (OPD) & On-Policy Self-Distillation (OPSD) for LLMs β student rollouts + teacher feedback, covering white-box/black-box methods, OPD-RL hybrids, agentic & multimodal applications, and industrial multi-teacher recipes.