deep-learning
Deep learning is an AI function and subset of machine learning, used for processing large amounts of complex data.
Repositories (1429)
Finding the genre of a song with Deep Learning
Open source deep learning based unsupervised image retrieval toolbox built on PyTorch🔥
Deep Learning Interview 深度学习面试题目汇总
Port of Single Shot MultiBox Detector to Keras
A library created to revitalize C++ as a machine learning front end. Per aspera ad astra.
YOLO9000: Better, Faster, Stronger - Real-Time Object Detection. 9000 classes!
Implementation of Quickdraw - an online game developed by Google
ChainerRL is a deep reinforcement learning library built on top of Chainer.
TensorFlow 101: Introduction to Deep Learning
Real time WebGL and JavaScript library for face tracking, expression detection and animated emoticons in the browser, with both SVG and Three.js demos...
Machine learning algorithms implemented by pure numpy
An unofficial and partial Keras implementation of "Noise2Noise: Learning Image Restoration without Clean Data"
:memo: This repository recorded my NLP journey.
:robot: PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+
Learning Lightweight Lane Detection CNNs by Self Attention Distillation (ICCV 2019)
Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-v...
curated collection of papers for the nlp practitioner 📖👩🔬
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.
Layers Outputs and Gradients in Keras. Made easy.
Implementations of CNNs, RNNs, GANs, etc
Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™
Coloring black and white images with deep learning.
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
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
Implementation of the node2vec algorithm.
Attempting to make the Deep Learning Book easier to understand.
Real-time pix2pix implementation with Unity
Fast & Simple Resource-Constrained Learning of Deep Network Structure
Interpretability Methods for tf.keras models with Tensorflow 2.x
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
Cool vision, learning, and graphics papers on Cats!
[Deprecated] 🇨🇳中国二代身份证光学识别
Video classification tools using 3D ResNet
Multi Model Server is a tool for serving neural net models for inference
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...