Deep learning is an AI function and subset of machine learning, used for processing large amounts of complex data.
基于Pytorch和torchtext的自然语言处理深度学习框架。
An autoML framework & toolkit for machine learning on graphs.
Gradually-Warmup Learning Rate Scheduler for PyTorch
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"
This guide should help fellow researchers and hobbyists to easily automate and accelerate there deep leaning training with their own Kubernetes GPU cl...
Implement AlphaZero/AlphaGo Zero methods on Chinese chess.
Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learni...
Network estimating 3D Handpose from single color images
Research papers with annotations, illustrations and explanations
[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!!
Code, exercises and tutorials of my personal blog ! 📝
Swift for TensorFlow Deep Learning Library
A curated list of gradient boosting research papers with implementations.
Tutorial: Graph Neural Networks for Natural Language Processing at EMNLP 2019 and CODS-COMAD 2020
Pytorch implementation of "A simple neural network module for relational reasoning" (Relational Networks)
A single handwritten digit classifier, using the MNIST dataset. Pure Numpy.
Code for finetuning AlexNet in TensorFlow >= 1.2rc0
Keras version of Realtime Multi-Person Pose Estimation project
A language-agnostic interface to TensorBoard
Learning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model.
Neural conversational model in Torch
Android TensorFlow Lite Machine Learning Example
Deep Reinforcement Learning with pytorch & visdom
A simple library for creating complex neural networks
国内公司人工智能方向(含机器学习、深度学习、计算机视觉和自然语言处理)岗位的招聘信息(含全职、实习和校招)
Full Stack Deep Learning Online Course
A medical imaging framework for Pytorch
Notes On Using Data Science & Artificial Intelligence To Fight For Something That Matters.
Generic and easy-to-use serving service for machine learning models
Resources for "Introduction to Deep Learning" course.
A face recognition solution on mobile device.
Visualizing RNNs using the attention mechanism
yolo(all versions) implementation in keras and tensorflow 2.x
AutoKernel 是一个简单易用,低门槛的自动算子优化工具,提高深度学习算法部署效率。
Integrating the Best of TF into PyTorch, for Machine Learning, Natural Language Processing, and Text Generation. This is part of the CASL project: ht...
Visualization toolkit for neural networks in PyTorch! Demo -->
A curated list of papers, code and resources pertaining to zero shot learning
Pytorch implementation of Center Loss
Kubernetes-native Deep Learning Framework
A modern development environment for deep learning
A PyTorch implementation of DenseNet.