gdb / tee-outputLinks
A Python library that tees the standard output & standard error from the current process to files on disk, while preserving terminal semantics (so breakpoint(), etc work as normal)
☆15Updated last year
Alternatives and similar repositories for tee-output
Users that are interested in tee-output are comparing it to the libraries listed below
Sorting:
- Implementation of SelfExtend from the paper "LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning" from Pytorch and Zeta☆13Updated 9 months ago
- Generative cellular automaton-like learning environments for RL.☆19Updated 6 months ago
- Documentation for dynamic machine learning systems.☆29Updated 11 months ago
- ☆22Updated last year
- Clean RL implementation using MLX☆32Updated last year
- One stop shop for all things carp☆59Updated 2 years ago
- Hugging Face and Pyserini interoperability☆20Updated 2 years ago
- A dataset of alignment research and code to reproduce it☆77Updated 2 years ago
- Ludwig benchmark☆20Updated 3 years ago
- Chat Markup Language conversation library☆55Updated last year
- ☆39Updated 2 years ago
- A Data Source for Reasoning Embodied Agents☆19Updated last year
- Low-Rank Adaptation of Large Language Models clean implementation☆8Updated 2 years ago
- A sample pattern for running CI tests on Modal☆18Updated 3 months ago
- 🎢 Creating and sharing simulation environments for embodied and synthetic data research☆191Updated last year
- A lightweight PyTorch implementation of the Transformer-XL architecture proposed by Dai et al. (2019)☆37Updated 2 years ago
- A file utility for accessing both local and remote files through a unified interface.☆43Updated 2 months ago
- ChatGPT Participates in a Computer Science Exam (2023)☆31Updated 2 years ago
- A forest of autonomous agents.☆19Updated 6 months ago
- Intelligent Go-Explore: Standing on the Shoulders of Giant Foundation Models☆61Updated 5 months ago
- Code for minimum-entropy coupling.☆32Updated last year
- Causal Analysis of Agent Behavior for AI Safety☆18Updated 2 years ago
- SMASHED is a toolkit designed to apply transformations to samples in datasets, such as fields extraction, tokenization, prompting, batchi…☆33Updated last year
- ☆26Updated 2 years ago
- Interpreting Learned Search and Planning: Reverse-engineering recurrent convolutional networks (DRC) that play Sokoban☆14Updated last month
- ☆42Updated last month
- Serialize JAX, Flax, Haiku, or Objax model params with 🤗`safetensors`☆45Updated last year
- JAX/Flax implementation of the Hyena Hierarchy☆34Updated 2 years ago
- A library for squeakily cleaning and filtering language datasets.☆47Updated 2 years ago
- Generating and validating natural-language explanations for the brain.☆56Updated this week