Experimental tensor-typed deep learning
The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).
Transfer Learning library for Deep Neural Networks.
DeepI2P: Image-to-Point Cloud Registration via Deep Classification. CVPR 2021
Visualisation tool for CNNs in pytorch
دوره جامع یادگیری عمیق با Tensorflow و Keras
Powerful Powerful Machine Learning library with GPU, CPU and WASM backends
Neural Network that detects in-video YouTube sponsorships.
Test-time Local Converter
The library contains a number of interconnected Java packages that implement machine learning and artificial intelligence algorithms. These are artifi...
VeriSilicon Tensor Interface Module
🧠 AI powered image tagger backed by DeepDetect
Implementing multilayer neural networks through backpropagation using Java.
Neural Network in Rust
A python program to detect and classify hand pose using deep learning techniques
a list of pappers in deep learning for new-comes.
ConvNet learns to play Need For Speed
My (slightly modified) Keras implementation of RankNet and PyTorch implementation of LambdaRank.
Pure C# machine learning framework
A resource for learning about deep learning techniques from regression to LSTM and Reinforcement Learning using financial data and the fitness functio...
Sandbox for graphics paper implementation
Awesome Gesture Generation
A Keras CTC implementation of Baidu's DeepSpeech for model experimentation
The pytorch code of the paper "Intrinsic Image Popularity Assessment"
Toolkit to obtain and preprocess German text corpora, train models and evaluate them with generated testsets. Built with Gensim and Tensorflow.
An (unofficial) implementation of Focal Loss, as described in the RetinaNet paper, generalized to the multi-class case.
A stable algorithm for GAN training
Text Classification through CNN, RNN & HAN using Keras
💥 Fast matrix-multiplication as a self-contained Python library – no system dependencies!
A deep learning framework created from scratch with Python and NumPy
Contains implementation of Guided Attention Inference Network (GAIN) presented in Tell Me Where to Look(CVPR 2018). This repository aims to apply GAIN...
Sentence Classifications with Neural Networks
Explore the energy-efficient dataflow scheduling for neural networks.
End to end motion planner using Deep Deterministic Policy Gradient (DDPG) in gazebo
Toolkit to Hack Your Deep Learning Models
A neuroevolution game experiment.
Aquí tienes un acordeón no oficial de la certificación AI-900 Microsoft Certified: Azure AI Fundamentals. Espero te sirva para aprobar tu certificació...
Coursera Specialization: Machine Learning and Data Analysis (Yandex & MIPT)
Marking up images for use with Darknet.
目标是提供一个完整的Java机器学习(Machine Learning/ML)框架,作为人工智能在学术界与工业界的桥梁. 让相关领域的研发人员能够在各种软硬件环境/数据结构/算法/...
Fake Image Detection Using Machine Learning
Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.
Livermore Big Artificial Neural Network Toolkit
Biologically based neural network simulations of the brain written in Go with a 3D GUI powered by Cogent Core.
ANI-1 neural net potential with python interface (ASE)
Style Art library process images using COREML with a set of pre trained machine learning models and convert them to Art style.
🏖 Easy training and deployment of seq2seq models.
🍃 Using a Neural Network to improve web accessibility in JavaScript.
AnimeGAN.js: Photo Animation for Everyone