Top 6721 deep-learning open source projects

Dual-Stage Attention-Based Recurrent Neural Net for Time Series Prediction

Bring Deep Learning to small devices

Providing determinism in deep learning frameworks

Efficient, transparent deep learning in hundreds of lines of code.

Deep learning operations reinvented (for pytorch, tensorflow, jax and others)

An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.

🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language Processing neural networks

TensorFlow implementation of ENet, trained on the Cityscapes dataset.

Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals

🌮 Trash Annotations in Context Dataset Toolkit

A machine learning project. Turn on your webcam. Mona Lisa's eyes will follow you around.

TensorFlow JS models for MIRNet for low-light image enhancement.

Simple Tinder algorithm able to swipe left and right based on the recommendations of a pre-trained deep neural network (Machine Learning).

The implementation of key value memory networks in tensorflow

Jack the Reader

Notes, Codes, and Tutorials for the Deep Learning Course <which I taught at ChinaHadoop>

A header-only C++ library for deep neural networks

Pytorch implementation of deep image matting

PyTorch Implementation of Focal Loss and Lovasz-Softmax Loss

Code and Data Release for GenRe (NeurIPS 2018) and ShapeHD (ECCV 2018)

Deep Learning Autonomous Car based on Raspberry Pi, SunFounder PiCar-V Kit, TensorFlow, and Google's EdgeTPU Co-Processor

This is the implementation of YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design

Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

Adaptive Affinity Fields for Semantic Segmentation

Hypergraph Neural Networks (AAAI 2019)

My take on a practical implementation of Linformer for Pytorch.

[ECCV 2020] Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution

使用机器学习算法完成对12306验证码的自动识别

A short tutorial on performing fine tuning or transfer learning in PyTorch.

UnFlow: Unsupervised Learning of Optical Flow with a Bidirectional Census Loss

Deep Replay - Generate visualizations as in my "Hyper-parameters in Action!" series!

FineGAN: Unsupervised Hierarchical Disentanglement for Fine-grained Object Generation and Discovery

Hierarchical Attention Networks for document classification

Code for PCN: Point Completion Network in 3DV'18 (Oral)

A PyTorch Implementation of Fast-SCNN: Fast Semantic Segmentation Network

Adlik: Toolkit for Accelerating Deep Learning Inference

Long Range Arena for Benchmarking Efficient Transformers

Deep-Learning Model Exploration and Development for NLP

One Shot Learning using Memory-Augmented Neural Networks (MANN) based on Neural Turing Machine architecture in Tensorflow

PyTorch implementation of "WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation", CVPR 2017

Deep Learning to Improve Breast Cancer Detection on Screening Mammography

Weakly Supervised Learning for Findings Detection in Medical Images

ENet - A Neural Net Architecture for real time Semantic Segmentation

Cloud-native neural search framework for 𝙖𝙣𝙮 kind of data

We are building an open database of COVID-19 cases with chest X-ray or CT images.

Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)

CNN for Chinese Text Classification in Tensorflow

A utility library around PyTorch

Remove watermark automatically(Just can use for fixed position watermark till now). 自动水印消除算法的实现（目前只支持固定水印位置）。

Generic implementation for clustering with deep learning : representation learning (DNN) + clustering

AI residency programs information

This is a repository for an nocode object detection inference API using the Yolov3 and Yolov4 Darknet framework.

Command line tool for improving typing skills (programmers friendly)

Dynamic Memory Networks (https://arxiv.org/abs/1603.01417) in Tensorflow

CNN acceleration on virtex-7 FPGA with verilog HDL

Explore the Capabilities of the TensorRT Platform

An implementation of DeepMind's Relational Recurrent Neural Networks in PyTorch.

Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch