deep-learning
Deep learning is an AI function and subset of machine learning, used for processing large amounts of complex data.
Repositories (1427)
Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0
Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning
Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)
Try out deep learning models online on Google Colab
Speedy Wavenet generation using dynamic programming :zap:
Top 200 deep learning Github repositories sorted by the number of stars.
Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/
FSL-Mate: A collection of resources for few-shot learning (FSL).
自然语言处理、知识图谱、对话系统，大模型等技术研究与应用。
A Platform for Many-Agent Reinforcement Learning
Deep Hough Voting for 3D Object Detection in Point Clouds
novel deep learning research works with PaddlePaddle
🦄 State-of-the-Art Conversational AI with Transfer Learning
Vocal Remover using Deep Neural Networks
:house_with_garden: Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.
DL course co-developed by YSDA, HSE and Skoltech
AIOps学习资料汇总，欢迎一起补全这个仓库，欢迎star
Roadmap to become a Visual-SLAM developer in 2026
maximal update parametrization (µP)
MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB:fire::fire::fire:
Python AutoML for Trading Systems and Sports Betting
PyTorch for Semantic Segmentation
Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is access...
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
[PVLDB 2024 Best Paper Nomination] TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods
Differentiable SDE solvers with GPU support and efficient sensitivity analysis.
Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.
Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7 data domains
A lightweight library for PyTorch training tools and utilities
An end-to-end library for editing and rendering motion of 3D characters with deep learning [SIGGRAPH 2020]
Open source tools for computational pathology - Nature BME
PyTorch tutorials and best practices.
《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。
A list of ICs and IPs for AI, Machine Learning and Deep Learning.
Labelbox is the fastest way to annotate data to build and ship computer vision applications.
Software and pre-trained models for automatic photo quality enhancement using Deep Convolutional Networks
CakeChat: Emotional Generative Dialog System
Synthetic data curation for post-training and structured data extraction
Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics...
Code release for Local Light Field Fusion at SIGGRAPH 2019
Deep learning for recommender systems
🙄 Difficult algorithm, Simple code.
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.
Useful extra functionality for TensorFlow 2.x maintained by SIG-addons
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...
NBA sports betting using machine learning
Nx-powered Neural Networks
A selection of state-of-the-art research materials on trajectory prediction