Stars
Training-free Post-training Efficient Sub-quadratic Complexity Attention. Implemented with OpenAI Triton.
Scalable Set Encoding with Universal Mini-Batch Consistency and Unbiased Full Set Gradient Approximation
Vim-fork focused on extensibility and usability
OpenAI Triton Implementation of Streaming LLM
A Pytorch implementation of the optimal transport kernel embedding
[GCPR 2023 | CVPR 2023 Workshop] Self-Supervised Representation Learning on Point Clouds
Betty: an automatic differentiation library for generalized meta-learning and multilevel optimization
[ICML 2023] Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining
The PatchCamelyon (PCam) deep learning classification benchmark.
The world’s fastest framework for building websites.
[CVPR 2022] MPViT:Multi-Path Vision Transformer for Dense Prediction
Rank-1 update and downdate of Cholesky factorization
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Improving predictions of Bayesian neural nets via local linearization, AISTATS 2021
BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.
Collisions at high-energy particle colliders are a traditionally fruitful source of exotic particle discoveries. Finding these rare particles requires solving difficult signal-versus-background cla…
Pytorch implementation of "Large-Scale Meta-Learning with Continual Trajectory Shifting" (ICML 2021)
[ACL 2021] Learning to Perturb Word Embeddings for Out-of-distribution QA
Official Code: Estimating Model Uncertainty of Neural Networks in Sparse Information Form, ICML2020.
Lightweight MCMC sampling for PyTorch Models aka My Corona Project
Implementations of many meta-learning algorithms to solve the few-shot learning problem in Pytorch
Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activelo…
Tensors and Dynamic neural networks in Python with strong GPU acceleration
🚀 Awesome list of open source applications for macOS. https://t.me/s/opensourcemacosapps
Paper by Miyato et al. https://openreview.net/forum?id=B1QRgziT-