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clip-zs-prompting
Using CLIP for zero-shot learning and image classification with text & visual prompting.smart-contracts
A library of solidity smart contracts for common use casesclassification-xgboost-bayesopt
A jupyter notebook for binary classification of breast cancer using XGBoost with Bayesian optimization.probing-lms
Probing language models for linguistic features in their representationsnlp-cord19-research-papers
A jupyter notebook for topic-modelling, clustering and question-answering on COVID-19 research papers.adversarial-autoencoder
An adversarial autoencoder implemented in PyTorchresnet-transfer-learning
Transfer learning by fine-tuning a ResNet-18 model on CIFAR-100contextual-hatespeech-detection
A contextual (BERT-based) hate speech detection modeltfx-pipe
A jupyter notebook to run a machine learning pipeline using Tensorflow Extended (TFX)nft-dapp
End-to-end web3 dapp to create NFTs from ERC-721 smart contract, deploy on-chain using Truffle, and a react app to connect wallet and mint NFTs from the contract from a browsercustomer-churn
Analyze and predict bank customer churn using various classification algorithmstfx-kubeflow-bigq-pipe
A production ready ML pipeline on Google Cloud Platform using Tensorflow Extended (TFX), Apache Beam, Kubeflow & BigQuery.reviews-sentiment-lexicon-nb-svm
Sentiment classification of movie reviews using lexicon, Naive Bayes & SVMtoken-airdrop
dropdown-menu-reddit
abhinav-neil
My profileerc20-token
erc721-nft
books-dashboard-glass
recsys-pysparkml
A book recommendation system using collaborative filtering built using PySpark MLcustomer-segmentation-clustering
Customer segmentation using clusteringlenet5-clf-finetuning
Image classification & tranfer learning with LeNet-5remix-local
Smart contracts currently in beta, in Remix IDElyrics-generator-lstm
A jupyter notebook to generate song lyrics using LSTM network.sentiment-analysis-bow-lstm
Sentiment analysis using neural BoW and LSTM based modelsml-explainability-inference
A jupyer notebook to model explainability and inference in ML models (random forests, decision trees), using permutation importance, partial dependence plots and SHAP. Bank customer transactions dataset for classification.neural-ir
Information retrieval using neural models: ranking with dense & sparse bi-encoders, reranking with cross-encoderLove Open Source and this site? Check out how you can help us