facebookresearch / schedule_freeLinks
Schedule-Free Optimization in PyTorch
☆2,202Updated 3 months ago
Alternatives and similar repositories for schedule_free
Users that are interested in schedule_free are comparing it to the libraries listed below
Sorting:
- Official repository for our work on micro-budget training of large-scale diffusion models.☆1,510Updated 7 months ago
- Tensors, for human consumption☆1,285Updated 2 months ago
- maximal update parametrization (µP)☆1,590Updated last year
- PyTorch compiler that accelerates training and inference. Get built-in optimizations for performance, memory, parallelism, and easily wri…☆1,395Updated this week
- A JAX research toolkit for building, editing, and visualizing neural networks.☆1,812Updated 2 months ago
- For optimization algorithm research and development.☆530Updated last week
- 🦁 Lion, new optimizer discovered by Google Brain using genetic algorithms that is purportedly better than Adam(w), in Pytorch☆2,157Updated 9 months ago
- NanoGPT (124M) in 3 minutes☆3,052Updated last month
- Muon is an optimizer for hidden layers in neural networks☆1,595Updated last month
- TensorDict is a pytorch dedicated tensor container.☆955Updated last week
- Train to 94% on CIFAR-10 in <6.3 seconds on a single A100. Or ~95.79% in ~110 seconds (or less!)☆1,279Updated 8 months ago
- Official Implementation of "ADOPT: Modified Adam Can Converge with Any β2 with the Optimal Rate"☆427Updated 8 months ago
- Official codebase used to develop Vision Transformer, SigLIP, MLP-Mixer, LiT and more.☆3,097Updated 3 months ago
- Type annotations and runtime checking for shape and dtype of JAX/NumPy/PyTorch/etc. arrays. https://docs.kidger.site/jaxtyping/☆1,516Updated 4 months ago
- A minimal PyTorch implementation of probabilistic diffusion models for 2D datasets.☆926Updated last year
- PyTorch native quantization and sparsity for training and inference☆2,291Updated this week
- Helpful tools and examples for working with flex-attention☆951Updated last week
- The official implementation of “Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training”☆967Updated last year
- Tile primitives for speedy kernels☆2,650Updated this week
- A PyTorch native platform for training generative AI models☆4,311Updated this week
- Puzzles for learning Triton☆1,948Updated 9 months ago
- UNet diffusion model in pure CUDA☆649Updated last year
- Simple and readable code for training and sampling from diffusion models☆594Updated 2 months ago
- [ICLR 2025] Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling☆907Updated 4 months ago
- A PyTorch library for implementing flow matching algorithms, featuring continuous and discrete flow matching implementations. It includes…☆3,283Updated 3 months ago
- Minimalistic 4D-parallelism distributed training framework for education purpose☆1,701Updated this week
- 4M: Massively Multimodal Masked Modeling☆1,763Updated 2 months ago
- Annotated version of the Mamba paper☆488Updated last year
- What would you do with 1000 H100s...☆1,090Updated last year
- 🚀 Efficient implementations of state-of-the-art linear attention models☆3,066Updated last week