neural-network
Repositories (1331)
A fast, high-quality neural vocoder.
ShuffleNet in PyTorch. Based on https://arxiv.org/abs/1707.01083
Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Friedman
Official code release for ICCV 2021 paper SNARF: Differentiable Forward Skinning for Animating Non-rigid Neural Implicit Shapes.
Library for automatic retraining and continual learning
A list of neuromorphic software projects
Pure Javascript manually written :ok_hand: implementation of BLAS, Many numerical software applications use BLAS computations, including Armadillo,...
Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]
A personal research and development (R&D) lab that facilitates the sharing of knowledge.
Tensorflow implementation of the HarvardNLP paper - What You Get Is What You See: A Visual Markup Decompiler (https://arxiv.org/pdf/1609.04938v1.pdf)
Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation (CVPR 2021)
Deep Learning Specialization courses by Andrew Ng, deeplearning.ai
LaTeX/PDF + Epub version of the online book (http://neuralnetworksanddeeplearning.com) ”Neural Networks and Deep Learning“ by Michael Nielsen (@mniels...
Keras implementation of Non-local Neural Networks
Samples code for world class Artificial Intelligence SoCs for computer vision applications.
Predict the Power Production of a solar panel farm from Weather Measurements using Machine Learning
U-Net implementation for PyTorch based on https://arxiv.org/abs/1505.04597
FPGA-based neural network inference project with an end-to-end approach (from training to implementation to deployment)
I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some go...
Machine learning games. Use combination of genetic algorithms and neural networks to control the behaviour of in-game objects.
Curated list of my reads, implementations and core concepts of Artificial Intelligence, Deep Learning, Machine Learning by best folk in the world.
Simple machine learning library / 簡單易用的機器學習套件
A batteries-included kit for knowledge graphs
The Machine Learning project including ML/DL projects, notebooks, cheat codes of ML/DL, useful information on AI/AGI and codes or snippets/scripts/tas...
ECG classification programs based on ML/DL methods
CNN image style transfer 🎨.
Menoh: fast DNN inference library with multiple programming language support
This is a repository for an nocode object detection inference API using the Yolov3 and Yolov4 Darknet framework.
Examples of python neural net and ML stock prediction methods with sample stock data.
A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).
Neural networks race (demo)
Tensorflow + Molecules = TensorMol
Packaged, Pytorch-based, easy to use, cross-platform version of the CRAFT text detector
Live-bending a foundation model’s output at neural network level.
A simple from-scratch neural net written in Go
MindMaker UE4 Machine Learning Toolkit
Efficient, transparent deep learning in hundreds of lines of code.
Flexible simulation package for optical neural networks
A multi-channel neural network audio classifier using Keras
3D image classification using CNN (Convolutional Neural Network)
A python library that makes AMR parsing, generation and visualization simple.
A deep learning model to age faces in the wild, currently runs at 60+ fps on GPUs
Implementation of the paper: Text Segmentation as a Supervised Learning Task
This is a tracking repo for all our AI projects. 🍕 🤖🍼
Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonlinear Partial...
FasterAI: Prune and Distill your models with FastAI and PyTorch
A modern deep learning framework built to accelerate research and development of AI systems
推荐系统论文算法实现，包括序列推荐，多任务学习，元学习等。 Recommendation system papers implementations, including sequence recommendation, multi-ta...
Experimental tensor-typed deep learning