deep-learning
Deep learning is an AI function and subset of machine learning, used for processing large amounts of complex data.
Repositories (1427)
My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, G...
[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
Build, personalize and control your own LLMs. From data pre-processing to fine-tuning, xTuring provides an easy way to personalize open-source LLMs. J...
Repository for benchmarking graph neural networks (JMLR 2023)
Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning
FMA: A Dataset For Music Analysis
Image Deblurring using Generative Adversarial Networks
记录cv算法工程师的成长之路，分享计算机视觉和模型压缩部署技术栈笔记。https://harleyszhang.github.io/cv_note/
computer vision projects | 计算机视觉相关好玩的AI项目（Python、C++、embedded system）
Implementation of AudioLM, a SOTA Language Modeling Approach to Audio Generation out of Google Research, in Pytorch
A toolkit to run Ray applications on Kubernetes
EdgeConnect: Structure Guided Image Inpainting using Edge Prediction, ICCV 2019 https://arxiv.org/abs/1901.00212
Automatically remove the mosaics in images and videos, or add mosaics to them.
🐸STT - The deep learning toolkit for Speech-to-Text. Training and deploying STT models has never been so easy.
Pytorch domain library for recommendation systems
**Official** 李宏毅 (Hung-yi Lee) 機器學習 Machine Learning 2022 Spring
The PyTorch-based audio source separation toolkit for researchers
A PyTorch Library for Multi-Task Learning
A simple command line tool for text to image generation, using OpenAI's CLIP and a BigGAN. Technique was originally created by https://twitter.com/adv...
Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Pre-Ranking, Ranking, Post Ra...
This is the repo for our new project Highly Accurate Dichotomous Image Segmentation
Unofficial implemention of lanenet model for real time lane detection
Deep Learning Server and CLI for Torch and TensorRT
General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast,...
Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX
NLP made easy
Automatic architecture search and hyperparameter optimization for PyTorch
A curated list of resources for text detection/recognition (optical character recognition ) with deep learning methods.
Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!
Collection of popular and reproducible image denoising works.
YoloV3 Implemented in Tensorflow 2.0
Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.
Time Series Forecasting Best Practices & Examples
Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.
Collection of papers, datasets, code and other resources for object tracking and detection using deep learning
Summaries of machine learning papers
[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2...
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
A collection of awesome resources in Human Pose estimation.
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.o...
Graphormer is a general-purpose deep learning backbone for molecular modeling.
One-step image-to-image with Stable Diffusion turbo: sketch2image, day2night, and more
A ROS/ROS2 Multi-robot Simulator for Autonomous Vehicles
Machine learning metrics for distributed, scalable PyTorch applications.
A curated list of community detection research papers with implementations.
:computer:深度学习实战：手写数字识别、Discuz验证码识别、垃圾分类、语义分割
Datasets, tools, and benchmarks for representation learning of code.