lvwerra / rl-implementations
This repo contains a set of notebooks to reproduce reinforcement learning algorithms.
☆15Updated 2 years ago
Alternatives and similar repositories for rl-implementations
Users that are interested in rl-implementations are comparing it to the libraries listed below
Sorting:
- ☆31Updated 2 years ago
- Official code for the paper "Context-Aware Language Modeling for Goal-Oriented Dialogue Systems"☆34Updated 2 years ago
- Official repository for the paper "Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks"☆59Updated 3 years ago
- An attempt to merge ESBN with Transformers, to endow Transformers with the ability to emergently bind symbols☆15Updated 3 years ago
- Shakespeare transformer fine-tuned to generate positive sentiment samples using RLHF☆10Updated 2 years ago
- Implementation of "Analysing Mathematical Reasoning Abilities of Neural Models"☆29Updated 2 years ago
- A framework for implementing equivariant DL☆10Updated 3 years ago
- Supplementary Data for Evolving Reinforcement Learning Algorithms☆46Updated 4 years ago
- Codes and files for the paper Are Emergent Abilities in Large Language Models just In-Context Learning☆33Updated 4 months ago
- Repo to reproduce the First-Explore paper results☆37Updated 4 months ago
- QAmeleon introduces synthetic multilingual QA data using PaLM, a 540B large language model. This dataset was generated by prompt tuning P…☆34Updated last year
- The Intermediate Goal of the project is to train a GPT like architecture to learn to summarise reddit posts from human preferences, as th…☆12Updated 3 years ago
- Functional local implementations of main model parallelism approaches☆95Updated 2 years ago
- Automatically generate simple meta-learning tasks from a very large space☆15Updated last year
- Q-Probe: A Lightweight Approach to Reward Maximization for Language Models☆41Updated 11 months ago
- Training and Inference Notebooks for the RedPajama (OpenLlama) models☆18Updated last year
- Supervised instruction finetuning for LLM with HF trainer and Deepspeed☆35Updated last year
- My explorations into editing the knowledge and memories of an attention network☆34Updated 2 years ago
- This repo contains data and code for the paper "Reasoning over Public and Private Data in Retrieval-Based Systems."☆46Updated 9 months ago
- Nadir: Cutting-edge PyTorch optimizers for simplicity & composability! 🔥🚀💻☆14Updated 11 months ago
- A library for squeakily cleaning and filtering language datasets.☆47Updated last year
- See https://github.com/cuda-mode/triton-index/ instead!☆11Updated last year
- Amos optimizer with JEstimator lib.☆82Updated last year
- Engineering the state of RNN language models (Mamba, RWKV, etc.)☆32Updated 11 months ago
- Parallel data preprocessing for NLP and ML.☆34Updated 6 months ago
- Understanding RL vision Distill article☆23Updated 2 years ago
- Experiments on GPT-3's ability to fit numerical models in-context.☆14Updated 2 years ago
- ☆34Updated 2 years ago
- A lightweight PyTorch implementation of the Transformer-XL architecture proposed by Dai et al. (2019)☆37Updated 2 years ago
- Evaluation suite for large-scale language models.☆125Updated 3 years ago