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autoencoders
Autoencoders are neural networks used for data compression, image de-noising, and dimensionality reduction. Using PyTorch.ezolimo
ezolimo, a companion app for the box of crayons repo built with flutter, and basically "frankensteined" code.pytorch_chatbot
A chatbot implemented using PyTorch, using Cornell Movie-Quotes Corpus which contains a large metadata-rich collection of fictional conversations extracted from raw movie scriptsimage_captioning
Automatically produce captions given an input image, using a resnet 50 as the encoder and a custom defined Decoder RNN, basically by combining a CNN for feature extraction and an RNNpytorchfb-lab
An image classifier built using Pytorch as part of the Udacity Pytorch facebook challenge lab project. Using a flower dataset containing 102 flower classes.anga
Using a pre-trained efficientnet (for experimental purposes) to classifier plant diseases given an image. Plant village challenge dataset.melanoma_SIIM_ISIC
SIIM-ISIC Melanoma Classification, Identify melanoma in lesion images.(Skin cancer is the most prevalent type of cancer. Melanoma, specifically, is responsible for 75% of skin cancer deaths, despite being the least common skin cancer.)rmon
An interpreter in Rustmaskedlm
Using distilled bert language model for mask predictions, Serving it using a flask api endpointcollaboration_competition
Collaboration and Competition (using multi agent reinforcement learning). Train a pair of agents to play tennis.tensorflow_noob_impls
A bunch of TF implementations. n00b tensorflow repo.houc
A sort of banking and loan application flutter app using firebase for auth and storage and designs stitched together from different sources online. Arranged as feature by folder.unity_navigation
Using a Deep Q Network to train an agent to collect only yellow bananas leaving the blue ones in a unity ml-agents environmentflutter_adventures
This repo contains demo/pet projects built for the sole purpose of learning flutter. Feel free to clone and run some samples.sentiment-analysis
hmm_tagger
A hidden Markov model for part of speech tagging using Pomegranate library with a universal target setmaddpg_lab
Multi-Agent reinforcement learning, goal is to train an agent to solve the Physical Deception problem.docker_self_hosted_registry
docker custom/private registry config, images stored on an AWS S3 bucket, ssl and traefik as the reverse proxy.Love Open Source and this site? Check out how you can help us