Popular GitHub Repositories for Grid Sampling

LightSeq: A High Performance Library for Sequence Processing and Generation

A procedural Blender pipeline for photorealistic training image generation

Official code for "DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps" (Neurips 2022 Oral)

:dart: Task-oriented embedding tuning for BERT, CLIP, etc.

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

:chart_with_upwards_trend: Adaptive: parallel active learning of mathematical functions

Official PyTorch implementation of VoxFormer [CVPR 2023 Highlight]

Boltzmann Machines in TensorFlow with examples

基于Pytorch和torchtext的自然语言处理深度学习框架。

A multi-platform desktop application to evaluate and compare LLM models, written in Rust and React.

Pool-based active learning in Python

Python library to easily log experiments and parallelize hyperparameter search for neural networks

Simple and readable code for training and sampling from diffusion models

PyTorch Implementation for Deep Metric Learning Pipelines

A comprehensive code for AI & Robotics.

The official PyTorch implementation of the paper "SAITS: Self-Attention-based Imputation for Time Series". A fast and state-of-the-art (SOTA) deep-learning neural network model for efficient time-series imputation (impute multivariate incomplete time series containing NaN missing data/values with machine learning). https://arxiv.org/abs/2202.08516

Not only automatic, but also intelligent. An Intelligent data Visualization System, based on LLM.

Differentiable Point Cloud Sampling (CVPR 2020 Oral)

Grid2Op a testbed platform to model sequential decision making in power systems.

?A curated list of Awesome Diffusion Inference Papers with Codes: Sampling, Cache, Quantization, Parallelism, etc.?