mateuszjurewicz
Senior Machine Learning Engineer and Artificial Intelligence Researcher interested in safely deploying AI models to help understand and solve problems.
Machine Learning Engineer @ Tjek Copenhagen, Denmark
mateuszjurewicz's Stars
esbenkc/DarkGPT
Dark Patterns in Chatbot Design
aypan17/machiavelli
facebookresearch/llm-transparency-tool
LLM Transparency Tool (LLM-TT), an open-source interactive toolkit for analyzing internal workings of Transformer-based language models. *Check out demo at* https://huggingface.co/spaces/facebook/llm-transparency-tool-demo
ndif-team/nnsight
The nnsight package enables interpreting and manipulating the internals of deep learned models.
PKU-Alignment/safety-gymnasium
NeurIPS 2023: Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark
PKU-Alignment/safe-rlhf
Safe RLHF: Constrained Value Alignment via Safe Reinforcement Learning from Human Feedback
GulenayMer/minishell
This project is about creating a unix shell.
GulenayMer/master_of_pong
A fullstack pong game and chat project
aripakman/neural_clustering_process
Implementation of the Neural Clustering Process algorithm in Pytorch
iesl/expLinkage
Supervised hierarchical clustering
zhoushengisnoob/DeepClustering
Methods and Implements of Deep Clustering
google-deepmind/alphafold
Open source code for AlphaFold.
ElieAljalbout/Clustering-with-Deep-learning
Generic implementation for clustering with deep learning : representation learning (DNN) + clustering
akosiorek/forge
Basic experiment framework for tensorflow.
copenlu/check-worthiness-pu-learning
Code to reproduce the experiments for "Claim Check-Worthiness Detection as Positive Unlabelled Learning" in Findings of EMNLP 2020
Haggaim/InvariantGraphNetworks
Code for the ICLR 2019 paper "Invariant and Equiovariant Graph Networks"
ShangtongZhang/reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
wojciechz/learning_to_execute
Learning to Execute
google-research/fast-soft-sort
Fast Differentiable Sorting and Ranking
jacobjinkelly/deepsort
Learning to sort numbers using a LSTM with a modified attention mechanism (Pointer Networks by Vinyals et al.).
ermongroup/neuralsort
Code for "Stochastic Optimization of Sorting Networks using Continuous Relaxations", ICLR 2019.
Cyanogenoid/fspool
[ICLR 2020] FSPool: Learning Set Representations with Featurewise Sort Pooling
RevanthRameshkumar/CRD3
The repo containing the Critical Role Dungeons and Dragons Dataset.
ijmbarr/notes-on-causal-inference
Some notes on Causal Inference, with examples in python
akelleh/causality
Tools for causal analysis
technicolor-research/sodeep
juho-lee/set_transformer
Pytorch implementation of set transformer
graykode/nlp-tutorial
Natural Language Processing Tutorial for Deep Learning Researchers
materialsvirtuallab/megnet
Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals
Lightning-AI/pytorch-lightning
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.