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A mechanistic approach for understanding and detecting factual errors of large language models.
Modeling, training, eval, and inference code for OLMo
Locating and editing factual associations in GPT (NeurIPS 2022)
Deep Reinforcement Learning for mobile robot navigation in ROS Gazebo simulator. Using Twin Delayed Deep Deterministic Policy Gradient (TD3) neural network, a robot learns to navigate to a random g…
[ICRA 2023] Adaptive and Explainable Deployment of Navigation Skills via Hierarchical Deep Reinforcement Learning
Implementation of the paper "Towards Optimally Decentralized Multi-Robot Collision Avoidance via Deep Reinforcement Learning"
Visualizing query-key interactions in language + vision transformers
The official code of LM-Debugger, an interactive tool for inspection and intervention in transformer-based language models.
The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.
BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
Code and documentation to train Stanford's Alpaca models, and generate the data.
Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2, B…
Code for the paper "Knowledge-driven Data Construction for Zero-shot Evaluation in Commonsense Question Answering" (AAAI 2021)
The RedPajama-Data repository contains code for preparing large datasets for training large language models.
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.
Open-source implementations of OpenAI Gym MuJoCo environments for use with the OpenAI Gym Reinforcement Learning Research Platform.
This repo contains the Hugging Face Deep Reinforcement Learning Course.
A curated list of awesome NVIDIA Issac Gym frameworks, papers, software, and resources
A curated list of awesome Deep Reinforcement Learning resources.
[IJCAI-2022] Can We Find Neurons that Cause Unrealistic Images in Deep Generative Networks?
🥞 Pancake main features (farms, pools, IFO, lottery, profiles)
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.