Popular GitHub Repositories for Discrete Wavelet Transform

? LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022

Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, DeepSeek, Mixtral, Gemma, Phi, MiniCPM, Qwen-VL, MiniCPM-V, etc.) on Intel XPU (e.g., local PC with iGPU and NPU, discrete GPU such as Arc, Flex and Max); seamlessly integrate with llama.cpp, Ollama, HuggingFace, LangChain, LlamaIndex, vLLM, DeepSpeed, Axolotl, etc.

Statistical Machine Intelligence & Learning Engine

? Refly is an open-source AI-native creation engine. Its intuitive free-form canvas interface combines multi-threaded dialogues, artifact, AI knowledge base integration, chrome extension clip & save, contextual memory, intelligent search, WYSIWYG AI editor and more, empowering you to effortlessly transform ideas into production-ready content.

Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

Use unsupervised and supervised learning to predict stocks

Acceleration package for neural networks on multi-core CPUs

Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.

[ICLR 2025] SOTA discrete acoustic codec models with 40/75 tokens per second for audio language modeling

Pytorch implementation of 2D Discrete Wavelet (DWT) and Dual Tree Complex Wavelet Transforms (DTCWT) and a DTCWT based ScatterNet

StableSR for Stable Diffusion WebUI - Ultra High-quality Image Upscaler

GUI based Smart Sudoku Solver that tries to extract a sudoku puzzle from a photo and solve it

Mastering Atari with Discrete World Models

A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).

Transform audio-visual content into navigable knowledge.

MDPs and POMDPs in Julia - An interface for defining, solving, and simulating fully and partially observable Markov decision processes on discrete and continuous spaces.

(CVPR 2023) Pytorch implementation of “T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations”

Generation of protein sequences and evolutionary alignments via discrete diffusion models

A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)

Awesome Easy-to-Use Deep Time Series Modeling based on PaddlePaddle, including comprehensive functionality modules like TSDataset, Analysis, Transform, Models, AutoTS, and Ensemble, etc., supporting versatile tasks like time series forecasting, representation learning, and anomaly detection, etc., featured with quick tracking of SOTA deep models.