Stars
Official code for "FeatUp: A Model-Agnostic Frameworkfor Features at Any Resolution" ICLR 2024
DSPy: The framework for programming—not prompting—language models
This is the python implementation of Tensor-CSPNet and Graph-CSPNet.
Drawing Bayesian networks, graphical models, tensors, technical frameworks, and illustrations in LaTeX.
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
Deploy a RESTful API Server to interact with Ollama and Stable Diffusion
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
[COLM 2024] LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
PyTorch code and models for V-JEPA self-supervised learning from video.
[NeurIPS'24] Multilinear Mixture of Experts: Scalable Expert Specialization through Factorization
A collection of literature after or concurrent with Masked Autoencoder (MAE) (Kaiming He el al.).
This repository provides code and resources for Parameter Efficient Fine-Tuning (PEFT), a technique for improving fine-tuning efficiency in natural language processing tasks.
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
Training the first Cypriot Large Language Model on the Masked Language Modeling objective for predicting a given masked word token within a given context
Starting kit for the NeurIPS 2023 unlearning challenge
A curated list of foundation models for vision and language tasks
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
Understanding Deep Learning - Simon J.D. Prince
Use Leaflet in your Django projects
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
[ICCV 2023] A latent space for stochastic diffusion models
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.
High-Resolution Image Synthesis with Latent Diffusion Models