DzvinkaYarish

ControlNet-different-backbones

dist-chain-replication

dist-tic-tac-toe

kaggle_tgs_salt_challenge

sentence_simplification_with_seq2seq

tartu-ani-clip-guided-rl

DRLearner_beta

Open Source Deep Reinforcement Learning, based on Agent 57 (Badia et al, 2020)

novel-molecule-generation

Code to our article

yield-paper

deep-tempering

Replica-exchange optimisation method for Tensorflow.

DzvinkaYarish/ControlNet-different-backbones

DzvinkaYarish/kaggle_tgs_salt_challenge

DzvinkaYarish/tartu-ani-clip-guided-rl

DzvinkaYarish/dist-chain-replication

DzvinkaYarish/dist-tic-tac-toe

DzvinkaYarish/sentence_simplification_with_seq2seq

DzvinkaYarish/coach

Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

DzvinkaYarish/NeuralTextSimplification

Exploring Neural Text Simplification

DzvinkaYarish/paid_ads_grpc_client

DzvinkaYarish/simpletransformers

Transformers for Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI

DzvinkaYarish/tartu-ml-project-medical-images-relabelling

DzvinkaYarish/chrombpnet

Bias factorized, base-resolution deep learning models of chromatin accessibility (chromBPNet)

DzvinkaYarish/Deep-Reinforcement-Learning-Algorithms-with-PyTorch

PyTorch implementations of deep reinforcement learning algorithms and environments

DzvinkaYarish/deep-text-corrector

Deep learning models trained to correct input errors in short, message-like text

DzvinkaYarish/gpt-2-simple

Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts

DzvinkaYarish/HPC_practice

DzvinkaYarish/keras

Deep Learning for humans

DzvinkaYarish/launchpad

DzvinkaYarish/MTAT.03.239_Bioinformatics

Teaching materials and tutorials for the bioinformatics course thought at the University of Tartu

DzvinkaYarish/qtl-moa-prediction

DzvinkaYarish/Question_Generation_web_service

DzvinkaYarish/ReLeaSE

Deep Reinforcement Learning for de-novo Drug Design

DzvinkaYarish/rnaseq-graft

RNA-seq quantification pipeline used by the eQTL Catalogue

DzvinkaYarish/rxn_yields

Code complementing our manuscript on the prediction of chemical reaction yields (https://iopscience.iop.org/article/10.1088/2632-2153/abc81d) and data augmentation strategies (https://doi.org/10.26434/chemrxiv.13286741).

DzvinkaYarish/scrna-seq-autoencoders

DzvinkaYarish/Sentence_Simplification

DzvinkaYarish/sentence_simplification_dataset

DzvinkaYarish/SwinIA-segmentation

Exploring emerging segmentation abilities of SwinIA models

DzvinkaYarish/tartu-nlp-courses-qa

DzvinkaYarish/UCU-blockchain-lesson1