neural-network
Repositories (1342)
30 Semi-Supervised Learning Algorithms
A lightweight and visualization AutoML system
A lightweight deep learning training framework implemented from scratch in C++, featuring a PyTorch-style API.
Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.
K-NRM: End-to-End Neural Ad-hoc Ranking with Kernel Pooling
Deep learning superresolution in pure rust
Pytorch implementation of NeurIPS 2021 paper: Geometry Processing with Neural Fields.
Amazing Machine Learning Open Source Tools and Projects for the Past Year (v.2019)
一文彻底搞懂BP算法：原理推导+数据演示+项目实战
Source Code for the Book Classic Computer Science Problems in Swift
Euclidean Neural Networks
🛣 Building an end-to-end Promptable Semantic Segmentation (Computer Vision) project from training to inferencing a model on LandCover.ai data (Satelli...
Observations and notes to understand the workings of neural network models and other thought experiments using Tensorflow
Identifying diabetic retinopathy using convolutional neural networks
Speech commands recognition with PyTorch | Kaggle 10th place solution in TensorFlow Speech Recognition Challenge
BTD - Bin To DNN: A DNN Executables Decompiler
Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".
卷积神经网络实现的验证码识别
An experiment about re-implementing supervised learning models based on shallow neural network approaches (e.g. fastText) with some additional exclusi...
Deep Reinforcement Learning (DRL) agents applied to medical images
Simple Convolutional Neural Network Library
Raymarching neural network in browsers with WebGL shaders
Explore Action Recognition
SHAInet - a pure Crystal machine learning library
Convolutional Neural Network with CUDA (MNIST 99.23%)
Collection of free Notes,Courses,Videos,Projects,Articles and Repos Links To learn Machine learning ,Deep learning,Python,SQL,CNN,NLP,GAN,GNN,Transfom...
A repository of state-of-the-art deep learning methods in computer vision
[cvpr19] Demo, training and evaluation code for generating dense hand+object reconstructions from single rgb images
Neuro-symbolic interpretation learning (mostly just language-learning, for now)
[NeurIPS 2023] DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization
A Python library for Gene–environment interaction analysis via deep learning
A deep learning framework built on an autograd engine with high level abstractions and low level control.
PyTorch functions and utilities to make your life easier
Visualization techniques for the latent space of a convolutional autoencoder in Keras
Code for Java Deep Learning Cookbook
A micro neural network multilayer perceptron for MicroPython (used on ESP32 and Pycom modules)
dna2vec: Consistent vector representations of variable-length k-mers
NOVA is a tool for annotating and analyzing behaviours in social interactions. It supports Annotators using Machine Learning already during the coding...
A Natural Language Processing course taught by Professor Ghassemi
Programming Assignments and Lectures for Geoffrey Hinton's "Neural Networks for Machine Learning" Coursera course
Heterogeneous automatic differentiation ("backpropagation") in Haskell
Online Deep Learning: Learning Deep Neural Networks on the Fly / Non-linear Contextual Bandit Algorithm (ONN_THS)
A collection of Audio and Speech pre-trained models.
Artificial life. Particles driven by neural networks, fighting on a grid and evolving through genetic algorithms.
Tensorflow in Docker on Mesos #tfmesos #tensorflow #mesos
Compile-time creation of neural networks
A tensorflow.keras generative neural network for de novo drug design, first-authored in Nature Machine Intelligence while working at AstraZeneca.
Cat facial detection and landmark recognition in Python
Distributed Keras Engine, Make Keras faster with only one line of code.
A repository for implementation of artificial intelligence algorithm which includes machine learning and deep learning algorithm as well as classical...