Mohd Fitri Alif Bin Mohd Kasai (fitrialif)

fitrialif

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Location:Malaysia

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Mohd Fitri Alif Bin Mohd Kasai's repositories

Awesome-NAS

A curated list of neural architecture search (NAS) resources.

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BioNAS-pub

Public version of BioNAS, a Neural Architecture Search method for interpretable Bioinformatics applications

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cnn-evolutionary-hyperparameters

Hyperparameter tuning through genetic algorithms, very slow but a great learning experience with genetic algorithms

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copilot

Lane and obstacle detection for active assistance during driving

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Deeplearning-OCR-1

An OCR based on deep learning (CNN+LSTM+CTC)

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devol

Genetic neural architecture search with Keras

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Evolution

Evolve a neural net from scratch

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evolution-strategies-starter

Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"

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Genetic

Implement some interesting genetic and CNN algorithms

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GeneticMLP

Implementation of a Multilayer Perceptron in Keras using a Genetic Algorithm (PonyGE2 Grammatical Evolution)

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GNNPapers

Must-read papers on graph neural networks (GNN)

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google-research

Google AI Research

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jetbot

An educational AI robot based on NVIDIA Jetson Nano.

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jetracer

An autonomous AI racecar using NVIDIA Jetson Nano

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jetson-inference

Guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

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KentAutoML

Implementation of a CoDeepNEAT-style AutoML algorithm for developing neural net architectures

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keras-loss-functions

Examples of Keras loss functions

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Malaya

Natural-Language-Toolkit for bahasa Malaysia, https://malaya.readthedocs.io/

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Megatron-LM

Ongoing research training transformer language models at scale, including: BERT & GPT-2

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MnasNet

A TensorFlow 2.0 implementation of MnasNet: Platform-Aware Neural Architecture Search for Mobile.

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Named-Entity-Recognition-BidirectionalLSTM-CNN-CoNLL

Keras implementation of "Few-shot Learning for Named Entity Recognition in Medical Text"

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Neural-Architecture-Search-1

Final project for CSC-424. Used Keras to generate neural networks trained in a supervised fashion on the MNIST and Reuters datasets. Implemented a simple mu + lambda evolutionary strategy to perform a parameter space search. Explored hyperparameters defining both the network architecture and training procedure in order to improve performance.

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Neural-Architecture-Search-with-Genetic-Algorithm

Neural Architecture Search with Genetic Algorithm

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NeuralGenetic

Optimizing artificial neural network parameters using the genetic algorithm for the classification of the Fruits360 dataset. The implementation is from scratch using NumPy.

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nsga-net

NSGA-Net, a Neural Architecture Search Algorithm

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pythia

A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)

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simdjson

Parsing gigabytes of JSON per second

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