Stars
SplatCo: Structure-View Collaborative Gaussian Splatting for Detail-Preserving Large-Scale Unbounded Scene Rendering
Papers on CBMs with short descriptions of paper's content
Open-Sora: Democratizing Efficient Video Production for All
Awesome Learn From Model Beyond Fine-Tuning: A Survey
Train transformer language models with reinforcement learning.
A repository re-creating the PromptBreeder Evolutionary Algorithm from the DeepMind Paper in Python using LMQL as the backend.
Interactive Widgets for the Jupyter Notebook
A curated list of Generative Recommender Systems (Paper & Code)
Datasets used for iSarcasmEval shared-task (Task 6 at SemEval 2022)
Bayesian optimisation & Reinforcement Learning library developed by Huawei Noah's Ark Lab
Using Low-rank adaptation to quickly fine-tune diffusion models.
The benchmark of SOTA text-to-image diffusion models with a new benchmarking strategy based on MiniGPT-4, namely X-IQE.
Semi-Parametric Editing with a Retrieval-Augmented Counterfactual Model
Official implementation for Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models (ICML 2022), and a reimplementation of Analytic-DPM: an Analytic Estimate of the …
Source code for ACMMM 2022 Grand Challenge Cheapfakes Detection paper: "A Textual-Visual-Entailment-based Unsupervised Algorithm for Cheapfake Detection"
ambroser53 / qlora
Forked from artidoro/qloraQLoRA: Efficient Finetuning of Quantized LLMs
The detection of irony and sarcasm is one of the most insidious challenges in the field of Natural Language Processing. Over the years, several techniques have been studied to analyze these rhetori…
ICDAR2021 Competition hosted on Codalab. The emotions of comic characters are described by the Visual information, the Text in speech Balloons or Captions and the Onomatopoeia (Comic drawings of wo…
A user-friendly plug-in that makes it easy to generate stable diffusion images inside Photoshop using either Automatic or ComfyUI as a backend.
[ICLR'24 spotlight] An open platform for training, serving, and evaluating large language model for tool learning.
Accessible large language models via k-bit quantization for PyTorch.
An open-source framework for training large multimodal models.