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Attention mechanism Implementation for Keras.

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Implementation of Transformer in Transformer, pixel level attention paired with patch level attention for image classification, in Pytorch

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Open Source Routing Engine for OpenStreetMap

A curated list of free, high-quality, university-level courses with video lectures related to the field of Computer Vision.

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Char-level RNN LSTM text generator📄.

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Human Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras

Deep learning codes and projects using Python

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

A convolutional neural network from scratch

A package built on top of Hugging Face's transformer library that makes it easy to utilize state-of-the-art NLP models

Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)

Data transformations for the ML era

Differentially private learning to create fake, synthetic datasets with enhanced privacy guarantees

Fully automatic brain tumour segmentation using Deep 3-D convolutional neural networks

Coding exercises for the Natural Language Processing concentration, part of Udacity's AIND program.

Link Discovery Framework for Metric Spaces.

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EQTransformer, a python package for earthquake signal detection and phase picking using AI.

attention based joint model for intent detection and slot filling

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A list of resources in different fields of Computer Science (multiple languages)

DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

A micro neural network multilayer perceptron for MicroPython (used on ESP32 and Pycom modules)

ncnn is a high-performance neural network inference framework optimized for the mobile platform

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

Reinforcement learning framework to accelerate research

AI & Deep Learning Enthusiasts Meetup Project & Study Sessions

互联网大厂面试经验

Source code of paper: (not available now)

Vanilla GAN implemented on top of keras/tensorflow enabling rapid experimentation & research. Branches correspond to implementations of stable GAN variations (i.e. ACGan, InfoGAN) and other promising variations of GANs like conditional and Wasserstein.

Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification

Board game AI implementations using Monte Carlo Tree Search

TensorFlow GAN implementation using Gumbel Softmax

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An independent implementation of DeepMind's AlphaGoZero in Scala, using Deeplearning4J (DL4J)

Raw implementation of attention gated U-Net by Keras

A simple from-scratch neural net written in Go

Implementation of Grounding of Textual Phrases in Images by Reconstruction in Tensorflow

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QANTA Quiz Bowl AI

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A variant of the Self Attention GAN named: FAGAN (Full Attention GAN)

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