lucidrains / ttt-rlLinks
Reinforcement Learning example in Nim, playing tic tac toe. Based off original C version from the great Antirez
☆15Updated 6 months ago
Alternatives and similar repositories for ttt-rl
Users that are interested in ttt-rl are comparing it to the libraries listed below
Sorting:
- Implementation of the proposed Adam-atan2 from Google Deepmind in Pytorch☆125Updated 10 months ago
- Tiled Flash Linear Attention library for fast and efficient mLSTM Kernels.☆70Updated last month
- Just some miscellaneous utility functions / decorators / modules related to Pytorch and Accelerate to help speed up implementation of new…☆123Updated last year
- Tiny re-implementation of MDM in style of LLaDA and nano-gpt speedrun☆56Updated 7 months ago
- Attempt to make multiple residual streams from Bytedance's Hyper-Connections paper accessible to the public☆91Updated 3 months ago
- Pytorch implementation of the PEER block from the paper, Mixture of A Million Experts, by Xu Owen He at Deepmind☆129Updated last year
- DeMo: Decoupled Momentum Optimization☆192Updated 10 months ago
- Official implementation of the paper: "ZClip: Adaptive Spike Mitigation for LLM Pre-Training".☆133Updated last month
- FlashRNN - Fast RNN Kernels with I/O Awareness☆98Updated 3 months ago
- Explorations into the proposal from the paper "Grokfast, Accelerated Grokking by Amplifying Slow Gradients"☆102Updated 9 months ago
- Quick implementation of nGPT, learning entirely on the hypersphere, from NvidiaAI☆291Updated 4 months ago
- Implementation of a Light Recurrent Unit in Pytorch☆49Updated last year
- Collection of autoregressive model implementation☆86Updated 5 months ago
- Griffin MQA + Hawk Linear RNN Hybrid☆89Updated last year
- Implementation of Infini-Transformer in Pytorch☆113Updated 9 months ago
- an open source reproduction of NVIDIA's nGPT (Normalized Transformer with Representation Learning on the Hypersphere)☆105Updated 7 months ago
- Experimental playground for benchmarking language model (LM) architectures, layers, and tricks on smaller datasets. Designed for flexible…☆82Updated last month
- Implementation of the Llama architecture with RLHF + Q-learning☆167Updated 8 months ago
- Fast modular code to create and train cutting edge LLMs☆68Updated last year
- ☆67Updated 10 months ago
- Supporting code for the blog post on modular manifolds.☆71Updated 2 weeks ago
- Normalized Transformer (nGPT)☆190Updated 10 months ago
- supporting pytorch FSDP for optimizers☆83Updated 10 months ago
- Training small GPT-2 style models using Kolmogorov-Arnold networks.☆120Updated last year
- Explorations into whether a transformer with RL can direct a genetic algorithm to converge faster☆71Updated 4 months ago
- Implementation of a multimodal diffusion transformer in Pytorch☆105Updated last year
- Implementation of 2-simplicial attention proposed by Clift et al. (2019) and the recent attempt to make practical in Fast and Simplex, Ro…☆47Updated last month
- 📄Small Batch Size Training for Language Models☆62Updated last week
- Implementation of Agent Attention in Pytorch☆91Updated last year
- The simplest, fastest repository for training/finetuning medium-sized GPTs.☆164Updated 3 months ago