languini-kitchen / languini-kitchenLinks
The official Languini Kitchen repository
☆14Updated last year
Alternatives and similar repositories for languini-kitchen
Users that are interested in languini-kitchen are comparing it to the libraries listed below
Sorting:
- Code Release for "Broken Neural Scaling Laws" (BNSL) paper☆59Updated last year
- ☆53Updated 9 months ago
- ☆32Updated last year
- Replicating and dissecting the git-re-basin project in one-click-replication Colabs☆36Updated 2 years ago
- Yet another random morning idea to be quickly tried and architecture shared if it works; to allow the transformer to pause for any amount…☆54Updated last year
- Griffin MQA + Hawk Linear RNN Hybrid☆87Updated last year
- Combining SOAP and MUON☆16Updated 5 months ago
- Sequence Modeling with Multiresolution Convolutional Memory (ICML 2023)☆124Updated last year
- Implementation of Gated State Spaces, from the paper "Long Range Language Modeling via Gated State Spaces", in Pytorch☆101Updated 2 years ago
- Why Do We Need Weight Decay in Modern Deep Learning? [NeurIPS 2024]☆66Updated 9 months ago
- Code accompanying our paper "Feature Learning in Infinite-Width Neural Networks" (https://arxiv.org/abs/2011.14522)☆62Updated 4 years ago
- ☆53Updated last year
- ☆40Updated last year
- RWKV model implementation☆38Updated 2 years ago
- AdamW optimizer for bfloat16 models in pytorch 🔥.☆33Updated last year
- Structured matrices for compressing neural networks☆67Updated last year
- The official code of "Building on Efficient Foundations: Effectively Training LLMs with Structured Feedforward Layers"☆19Updated 11 months ago
- ☆36Updated last year
- sigma-MoE layer☆20Updated last year
- ☆48Updated last year
- ☆17Updated 10 months ago
- Official repository for the paper "Exploring the Promise and Limits of Real-Time Recurrent Learning" (ICLR 2024)☆11Updated last month
- Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation precondition…☆179Updated last month
- Code for "The Expressive Power of Low-Rank Adaptation".☆20Updated last year
- Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)☆80Updated last year
- Official repository for the paper "Approximating Two-Layer Feedforward Networks for Efficient Transformers"☆38Updated last month
- Triton Implementation of HyperAttention Algorithm☆48Updated last year
- Reference implementation of "Softmax Attention with Constant Cost per Token" (Heinsen, 2024)☆24Updated last year
- Official Repository for Efficient Linear-Time Attention Transformers.☆18Updated last year
- Implementation of GateLoop Transformer in Pytorch and Jax☆89Updated last year