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🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
Bayesian learning and inference for state space models
Optimizing neural networks in subspaces
Differentiable wave optics using JAX! Documentation can be found at https://chromatix.readthedocs.io
Tools for distributed alignment of massive images
Demystify AI agents by building them yourself. Local LLMs, no black boxes, real understanding of function calling, memory, and ReAct patterns.
A repository of experiments inspecting LLM's, particularly focused on detecting signs of human-like self-awareness via psychodynamic-inspired prompting.
Hierarchical Image Pyramid Transformer - CVPR 2022 (Oral)
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
Inspired by the spatial grouping layer in Native Segmentation Vision Transformers (https://arxiv.org/abs/2505.16993), implemented in PyTorch with a modified rotary position embedding generalized to…
PyTorch implementation of Rotary Spatial Embeddings
Deformable DETR: Deformable Transformers for End-to-End Object Detection.
[ECCV 2024] Official PyTorch implementation of RoPE-ViT "Rotary Position Embedding for Vision Transformer"
Fast, general, and tested differentiable structured prediction in PyTorch
User-friendly implementation of the Mixture-of-Sparse-Attention (MoSA). MoSA selects distinct tokens for each head with expert choice routing providing a content-based sparse attention mechanism.
[NeurIPS 2024 Best Paper Award][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". A…
GPU-accelerated Image Processing library for Python
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
Pythonic and parallelizable I/O for N-dimensional imaging data with OME metadata