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disentangling-vae
Experiments for understanding disentanglement in VAE latent representationsNeural-Process-Family
Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.Hash-Embeddings
PyTorch implementation of Hash Embeddings (NIPS 2017). Submission to the NIPS Implementation Challenge.lossyless
Generic image compressor for machine learning. Pytorch code for our paper "Lossy compression for lossless prediction".Invariant-Self-Supervised-Learning
Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"SSL-Risk-Decomposition
Benchmark and analysis of 165 pretrained SSL models. Code for "Evaluating Self-Supervised Learning via Risk Decomposition".Mini_Decodable_Information_Bottleneck
Minimum viable code for the Decodable Information Bottleneck paper. Pytorch Implementation.Semi-Supervised-Neural-Processes
miRNAseq-Analysis
Analyze single-cell miRNA sequencing data from HL-60 cells along a 7-day time-course of ATRA treatment.RAW-Embedings
Novel word embeddings based on a simple and intuitive rolling average. Still in dev mode.simulationPopulationGenetics
A general modelisation of Wright Fisher in a context of total biological abstraction. And a specific modelisation of the evolution of the sickle cell anemia in Congo, Cameroon & GaboonInfootmation
Visualise european soccer player's dataFourRussiansRNA
Faster algorithms for RNA-folding using the Four-Russians methodnpf
Experiments for comparing and understanding different neural processes architectures.Overlayed-Datasets
Code for generating datasets consisting of overlayed images.specialized-attention-mini
Mini Version of Specialized AttentionoptimizationCode
Some of the optimisation functions I've implemented: for learning purposeTicTacToePyTorch
Tic tac toe dataset and PyTorch baseline.QuoraQuestion
Siamese LSTM for Kaggle competition: Quora Question PairsLove Open Source and this site? Check out how you can help us