deep-learning
Deep learning is an AI function and subset of machine learning, used for processing large amounts of complex data.
Repositories (1412)
Vocal Remover using Deep Neural Networks
PyTorch for Semantic Segmentation
Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is access...
AIOps学习资料汇总，欢迎一起补全这个仓库，欢迎star
Converted CoreML Model Zoo.
DL course co-developed by YSDA, HSE and Skoltech
Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7 data domains
Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
A lightweight library for PyTorch training tools and utilities
Differentiable SDE solvers with GPU support and efficient sensitivity analysis.
Python AutoML for Trading Systems and Sports Betting
Software and pre-trained models for automatic photo quality enhancement using Deep Convolutional Networks
PyTorch tutorials and best practices.
Labelbox is the fastest way to annotate data to build and ship computer vision applications.
Official implementation of the RAVE model: a Realtime Audio Variational autoEncoder
CakeChat: Emotional Generative Dialog System
Useful extra functionality for TensorFlow 2.x maintained by SIG-addons
An end-to-end library for editing and rendering motion of 3D characters with deep learning [SIGGRAPH 2020]
A list of ICs and IPs for AI, Machine Learning and Deep Learning.
🙄 Difficult algorithm, Simple code.
Deep learning for recommender systems
Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning
maximal update parametrization (µP)
Code release for Local Light Field Fusion at SIGGRAPH 2019
Simple project to detect objects and display 3D labels above them in AR. This serves as a basic Template for an ARKit project to use CoreML.
[PVLDB 2024 Best Paper Nomination] TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods
《机器学习理论导引》（宝箱书）的证明、案例、概念补充与参考文献讲解。
静默活体检测（Silent-Face-Anti-Spoofing）
Google, Naver multiprocess image web crawler (Selenium)
Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website (https://dlg4nlp.github.io/index.html...
Efficient, scalable and enterprise-grade CPU/GPU inference server for 🤗 Hugging Face transformer models 🚀
Nx-powered Neural Networks
Implementation of 'lightweight' GAN, proposed in ICLR 2021, in Pytorch. High resolution image generations that can be trained within a day or two
A selection of state-of-the-art research materials on trajectory prediction
Rainbow: Combining Improvements in Deep Reinforcement Learning
Frustum PointNets for 3D Object Detection from RGB-D Data
This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.
Synthetic data curation for post-training and structured data extraction
:fire::fire: Deep Learning Head Pose Estimation using PyTorch.
A state-of-the-art semi-supervised method for image recognition
NYU Deep Learning Spring 2021
Open source tools for computational pathology - Nature BME
Deep Learning for Time Series Classification
算法工程师-机器学习面试题总结
Roadmap to become a Visual-SLAM developer in 2026
Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics...
An offline deep reinforcement learning library
A unified framework for Deep Learning Models on tabular data