Deep learning is an AI function and subset of machine learning, used for processing large amounts of complex data.
solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning
PyTorch implementation of Deformable Convolution
Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening
Generating faces with deconvolution networks
inferring sql queries from plain-text questions about tables
AoE (AI on Edge,终端智能,边缘计算) 是一个终端侧AI集成运行时环境 (IRE),帮助开发者提升效率。
A CS degree with a focus on full-stack ML engineering, 2020
Implementation of YOLO v3 object detector in Tensorflow (TF-Slim)
AI projects
Speech Enhancement Generative Adversarial Network in TensorFlow
Pytorch implementation of MixNMatch
PyTorch to Keras model convertor
Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros
Tensorflow implementation of the SRGAN algorithm for single image super-resolution
Code for 3D object detection for autonomous driving
My Reading Lists of Deep Learning and Natural Language Processing
FaceRank - Rank Face by CNN Model based on TensorFlow (add keras version). FaceRank-人脸打分基于 TensorFlow (新增 Keras 版本) 的 CNN 模型(QQ群:16712...
Boltzmann Machines in TensorFlow with examples
DeepTables: Deep-learning Toolkit for Tabular data
Play deep learning with CIFAR datasets
Natural Language Toolkit for Indic Languages aims to provide out of the box support for various NLP tasks that an application developer might need
An autoML framework & toolkit for machine learning on graphs.
Gradually-Warmup Learning Rate Scheduler for PyTorch
基于Pytorch和torchtext的自然语言处理深度学习框架。
Gated-Shape CNN for Semantic Segmentation (ICCV 2019)
Descriptive Deep Learning
PyTorch Implementation of [1611.06440] Pruning Convolutional Neural Networks for Resource Efficient Inference
Real time emotion recognition
《深度学习入门-基于Python的理论与实现》,包含源代码和高清PDF(带书签);慕课网imooc《深度学习之神经网络(CNN-RNN-GAN)算法原理-实战》;《菜菜的机器学习skl...
Code and other material for the book "Deep Learning and the Game of Go"
Implement AlphaZero/AlphaGo Zero methods on Chinese chess.
This guide should help fellow researchers and hobbyists to easily automate and accelerate there deep leaning training with their own Kubernetes GPU cl...
Network estimating 3D Handpose from single color images
Research papers with annotations, illustrations and explanations
Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learni...
[CVPR 2016] Unsupervised Feature Learning by Image Inpainting using GANs
Tensorflow Implementation of the Semantic Segmentation DeepLab_V3 CNN
Machine learning framework for both deep learning and traditional algorithms
Get Deinked!!
A curated list of gradient boosting research papers with implementations.
Code, exercises and tutorials of my personal blog ! 📝
Swift for TensorFlow Deep Learning Library
Tutorial: Graph Neural Networks for Natural Language Processing at EMNLP 2019 and CODS-COMAD 2020
A single handwritten digit classifier, using the MNIST dataset. Pure Numpy.
Pytorch implementation of "A simple neural network module for relational reasoning" (Relational Networks)
Learning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model.
Keras version of Realtime Multi-Person Pose Estimation project
A language-agnostic interface to TensorBoard
Code for finetuning AlexNet in TensorFlow >= 1.2rc0