deep-learning
Deep learning is an AI function and subset of machine learning, used for processing large amounts of complex data.
Repositories (1412)
PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".
A large-scale dataset of both raw MRI measurements and clinical MRI images.
Next RecSys Library
Python Library for Model Interpretation/Explanations
基于Yolov5车牌检测,更快更准.
Implementations of CNNs, RNNs, GANs, etc
Layers Outputs and Gradients in Keras. Made easy.
Coloring black and white images with deep learning.
Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™
A PyTorch-based library for semi-supervised learning (NeurIPS'21)
Unifying Generative Autoencoder implementations in Python
Generate Diverse Counterfactual Explanations for any machine learning model.
Perception and AI components for autonomous mobile robotics.
A plugin for GTAV that transforms it into a vision-based self-driving car research environment.
Seminars DeepBayes Summer School 2018
Real-time pix2pix implementation with Unity
Implementation of the node2vec algorithm.
Attempting to make the Deep Learning Book easier to understand.
吴恩达《深度学习》系列课程笔记及代码 | Notes in Chinese for Andrew Ng Deep Learning Course
Interpretability Methods for tf.keras models with Tensorflow 2.x
Fast & Simple Resource-Constrained Learning of Deep Network Structure
Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks
Open-source toolbox for visual fashion analysis based on PyTorch
COVID-CT-Dataset: A CT Scan Dataset about COVID-19
船长关于机器学习、计算机视觉和工程技术的总结和分享
Temporal Segment Networks (TSN) in PyTorch
[Deprecated] 🇨🇳中国二代身份证光学识别
Cool vision, learning, and graphics papers on Cats!
Multi Model Server is a tool for serving neural net models for inference
Video classification tools using 3D ResNet
A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch
TensorFlow Similarity is a python package focused on making similarity learning quick and easy.
Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation o...
Official implementation of "OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association" in PyTorch.
The Hitchiker's Guide to PyTorch
How Powerful are Graph Neural Networks?
High level network definitions with pre-trained weights in TensorFlow
Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).
Intel® Neural Compressor (formerly known as Intel® Low Precision Optimization Tool), targeting to provide unified APIs for network compression technol...
an implementation of Video Frame Interpolation via Adaptive Separable Convolution using PyTorch
Implementing Siamese networks with a contrastive loss for similarity learning
This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendatio...
Keras implementation of Deep Convolutional Generative Adversarial Networks
This is the Plato Research Dialogue System, a flexible platform for developing conversational AI agents.
This repository allows you to get started with a gui based training a State-of-the-art Deep Learning model with little to no configuration needed! NoC...
Otto makes machine learning an intuitive, natural language experience. 🏆 Facebook AI Hackathon winner ⭐️ #1 Trending on MadeWithML.com ⭐️ #4 Trend...
Ready to use implementations of various Deep Learning algorithms using TensorFlow.
A general list of resources to image text localization and recognition 场景文本位置感知与识别的论文资源与实现合集 シーンテキストの位置認識と識別のた...
A-Paper-A-Week
Genetic neural architecture search with Keras