deep-learning
Deep learning is an AI function and subset of machine learning, used for processing large amounts of complex data.
Repositories (1433)
Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.
Roadmap to become a Visual-SLAM developer in 2026
DeepTraffic is a deep reinforcement learning competition, part of the MIT Deep Learning series.
Discovering Interpretable GAN Controls [NeurIPS 2020]
Awesome-pytorch-list 翻译工作进行中......
Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
Interactive convnet features visualization for Keras
Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0
Try out deep learning models online on Google Colab
PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)
Top 200 deep learning Github repositories sorted by the number of stars.
DL course co-developed by YSDA, HSE and Skoltech
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。
Speedy Wavenet generation using dynamic programming :zap:
novel deep learning research works with PaddlePaddle
Python AutoML for Trading Systems and Sports Betting
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).
Deep Hough Voting for 3D Object Detection in Point Clouds
A Platform for Many-Agent Reinforcement Learning
Vocal Remover using Deep Neural Networks
maximal update parametrization (µP)
🦄 State-of-the-Art Conversational AI with Transfer Learning
AIOps学习资料汇总，欢迎一起补全这个仓库，欢迎star
:house_with_garden: Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.
[PVLDB 2024 Best Paper Nomination] TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods
MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB:fire::fire::fire:
Open source tools for computational pathology - Nature BME
Synthetic data curation for post-training and structured data extraction
PyTorch for Semantic Segmentation
《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。
NBA sports betting using machine learning
Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is access...
Differentiable SDE solvers with GPU support and efficient sensitivity analysis.
An end-to-end library for editing and rendering motion of 3D characters with deep learning [SIGGRAPH 2020]
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
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
BirdNET analyzer for scientific audio data processing.
A lightweight library for PyTorch training tools and utilities
Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics...
A list of ICs and IPs for AI, Machine Learning and Deep Learning.
PyTorch tutorials and best practices.
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
High-performance automatic differentiation of LLVM and MLIR.
CakeChat: Emotional Generative Dialog System
Code release for Local Light Field Fusion at SIGGRAPH 2019
arxiv-sanity lite: tag arxiv papers of interest get recommendations of similar papers in a nice UI using SVMs over tfidf feature vectors based on pape...
算法工程师-机器学习面试题总结