imbue-ai / carbs
Cost aware hyperparameter tuning algorithm
☆137Updated 6 months ago
Alternatives and similar repositories for carbs:
Users that are interested in carbs are comparing it to the libraries listed below
- ☆201Updated 6 months ago
- Efficient baselines for autocurricula in JAX.☆175Updated 4 months ago
- seqax = sequence modeling + JAX☆136Updated 6 months ago
- supporting pytorch FSDP for optimizers☆75Updated last month
- Minimal (400 LOC) implementation Maximum (multi-node, FSDP) GPT training☆121Updated 9 months ago
- A simple library for scaling up JAX programs☆129Updated 2 months ago
- 🧱 Modula software package☆132Updated this week
- Minimal but scalable implementation of large language models in JAX☆28Updated 2 months ago
- A puzzle to learn about prompting☆123Updated last year
- A MAD laboratory to improve AI architecture designs 🧪☆102Updated last month
- LeanRL is a fork of CleanRL, where selected PyTorch scripts optimized for performance using compile and cudagraphs.☆486Updated 2 months ago
- Benchmarking Agentic LLM and VLM Reasoning On Games☆88Updated last week
- ☆146Updated last month
- Textbook on reinforcement learning from human feedback☆111Updated this week
- Understand and test language model architectures on synthetic tasks.☆175Updated this week
- ☆175Updated last month
- Scaling is a distributed training library and installable dependency designed to scale up neural networks, with a dedicated module for tr…☆54Updated 2 months ago
- Muon optimizer for neural networks: >30% extra sample efficiency, <3% wallclock overhead☆210Updated last week
- fast + parallel AlphaZero in JAX☆90Updated 3 weeks ago
- The simplest, fastest repository for training/finetuning medium-sized GPTs.☆90Updated last month
- Named Tensors for Legible Deep Learning in JAX☆157Updated last week
- Accelerated minigrid environments with JAX☆127Updated 5 months ago
- Code to reproduce "Transformers Can Do Arithmetic with the Right Embeddings", McLeish et al (NeurIPS 2024)☆182Updated 7 months ago
- Efficient optimizers☆144Updated this week
- LoRA for arbitrary JAX models and functions☆135Updated 10 months ago
- A set of Python scripts that makes your experience on TPU better☆44Updated 6 months ago
- Train very large language models in Jax.☆198Updated last year
- Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clusters☆110Updated last month
- Simple Transformer in Jax☆128Updated 6 months ago
- ☆267Updated 6 months ago