A General Purpose NLP library for Turkish
Time Series package for fastai v2
Implementation of QuickDraw - an online game developed by Google, combined with AirGesture - a simple gesture recognition application
Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood
Provides a systematic and extensible way to build, train, evaluate, and tune deep learning models using PyTorch.
Scalable and Sustainable Deep Learning via Randomized Hashing
👾 Jupyter Notebook + Space Invaders!?
A curated list of awesome neural network-based art resources.
GraphNVP: An Invertible Flow Model for Generating Molecular Graphs
ncnn wrapper written in C++ and C# for Windows, MacOS, Linux, iOS and Android
A recurrent (LSTM) neural network in C
A simple library to deploy Keras neural networks in pure C for realtime applications
Fusion models for Atomic and molecular STructures (FAST)
Taking a pretrained GloVe model, and using it as a TensorFlow embedding weight layer **inside the GPU**. Therefore, you only need to send the index of...
Codebase for my book "Python DeepLearning Projects" | Learn applied deep learning for various use-cases on NLP, CV and ASR using TensorFlow and Keras....
UCI Chess Engine
duralava is a neural network which can simulate a lava lamp in an infinite loop.
ThereForYou: Your mental health ally. Kai, our AI assistant, offers compassionate support. Track your mood trends, find solace in a secure community,...
Course repo and syllabus for Nature of Code Spring 2018 at ITP.
Python library for Bayesian hyper-parameters optimization
Neural Network for HFT-trading [experimental]
OSSDC Vision AI - a platform for live testing and developing of computer vision and artificial intelligence algorithms targeting robotics, home automa...
Solution to im2latex request for research of openai
Pytorch implementation and pre-trained Japanese model for CANINE, the efficient character-level transformer.
Some of the ML and DL related reading materials, research papers that I've read
Implementation of Perceiver, General Perception with Iterative Attention
A Recurrent Neural Network implemented from scratch (using only numpy) in Python.
Image Forgery Detection using Deep learning Graduation project
GUI-based Super-Resolution Convolutional Neural Network(SRCNN)Utility.
Implementation of the multi feed-forward network architecture by Parikh et al. (2016) for Natural Language Inference.
CAUTION: This is not maintained anymore. Visit https://github.com/chainer-community/chainer-colab-notebook/
Empirical Evaluation on Current Neural Networks on Cloze-style Reading Comprehension
ML project to predict weather condition in given image
Pytorch implementation of a Self-Organizing Map
Mobilenet v1 trained on Imagenet for STM32 using extended CMSIS-NN with INT-Q quantization support
A simplistic Neural Network Library in Go
Materials Learning Algorithms. A framework for machine learning materials properties from first-principles data.
[AAAI 2019] Weakly-Supervised Hierarchical Text Classification
ncnn android benchmark app
BiLSTM-CRF for sequence labeling in Dynet
Bayesian dessert for Lasagne
Automatically backup keras/tensorflow models from Google's Colab service to your GoogleDrive based on a keras callback!
Learning Fine-grained Image Similarity with Deep Ranking is a novel application of neural networks, where the authors use a new multi scale architectu...
FANN (Fast Artifical Neural Network) binding in Crystal
a trading strategy trainer, back-tester and bot
Allstate Kaggle Competition ML Capstone Project
Neural network, contour analysis, bitmap vector subtraction CAPTCHA solving library and scripting language with perceptive color space segmentation
LibN3L: A light-weight neural network package for natural language
A deep learning library in C++/CUDA
Deep learning in a spiking neural network using segregated dendrites.