Source Code for the Book Classic Computer Science Problems in Swift
Euclidean Neural Networks
Pytorch implementation of NeurIPS 2021 paper: Geometry Processing with Neural Fields.
SciRS2 - Scientific Computing and AI in Rust., providing SciPy-compatible APIs while leveraging Rust's performance, safety, and concurrency features....
Observations and notes to understand the workings of neural network models and other thought experiments using Tensorflow
Speech commands recognition with PyTorch | Kaggle 10th place solution in TensorFlow Speech Recognition Challenge
一文彻底搞懂BP算法:原理推导+数据演示+项目实战
Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".
Identifying diabetic retinopathy using convolutional neural networks
BTD - Bin To DNN: A DNN Executables Decompiler
Explore Action Recognition
An experiment about re-implementing supervised learning models based on shallow neural network approaches (e.g. fastText) with some additional exclusi...
卷积神经网络实现的验证码识别
Simple Convolutional Neural Network Library
Raymarching neural network in browsers with WebGL shaders
Deep Reinforcement Learning (DRL) agents applied to medical images
Convolutional Neural Network with CUDA (MNIST 99.23%)
A repository of state-of-the-art deep learning methods in computer vision
Code for Java Deep Learning Cookbook
[cvpr19] Demo, training and evaluation code for generating dense hand+object reconstructions from single rgb images
A Python library for Gene–environment interaction analysis via deep learning
PyTorch functions and utilities to make your life easier
Visualization techniques for the latent space of a convolutional autoencoder in Keras
A deep learning framework built on an autograd engine with high level abstractions and low level control.
SHAInet - a pure Crystal machine learning library
A micro neural network multilayer perceptron for MicroPython (used on ESP32 and Pycom modules)
Heterogeneous automatic differentiation ("backpropagation") in Haskell
dna2vec: Consistent vector representations of variable-length k-mers
A collection of Audio and Speech pre-trained models.
Online Deep Learning: Learning Deep Neural Networks on the Fly / Non-linear Contextual Bandit Algorithm (ONN_THS)
Tensorflow in Docker on Mesos #tfmesos #tensorflow #mesos
Compile-time creation of neural networks
Programming Assignments and Lectures for Geoffrey Hinton's "Neural Networks for Machine Learning" Coursera course
Neuro-symbolic interpretation learning (mostly just language-learning, for now)
🛣 Building an end-to-end Promptable Semantic Segmentation (Computer Vision) project from training to inferencing a model on LandCover.ai data (Satelli...
Distributed Keras Engine, Make Keras faster with only one line of code.
A tensorflow.keras generative neural network for de novo drug design, first-authored in Nature Machine Intelligence while working at AstraZeneca.
A cute multi-layer LSTM that can perform like a human 🎶
TensorFlow Implementation of the paper "End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures" and "Classifying Relations via Lo...
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
[ICCV 2019] Depth Hints are complementary depth suggestions which improve monocular depth estimation algorithms trained from stereo pairs
Cat facial detection and landmark recognition in Python
The squeezenet image classification android example
JittorVis - Visual understanding of deep learning models
The repo for the fast and easy guide to the most popular deep learning framework in the world.
L1: Tensor Studio — The playground for tensors
Interactive Visualization to Build, Train and Test an Autoencoder with Tensorflow.js
Japanese input method for fcitx5, powered by azooKey engine
Graph Neural Network based Social Recommendation Model. SIGIR2019.