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OuariachiRafik/README.md

Greetings

I am Ouariachi Hammadi Rafik, a systems engineering grad and a RL/World Models researcher at Nanjing Univeristy.

My research interests are mainly in World Models, Causality and RL.

I also like to work on a wide range of AI and software and game dev related projects.

My background is in Mathematics, Theoritical Computer science and my language proficiency encompasses Python and Java, C++, but I am open to discovering and learning new tools.

Other than that, I have an interest in History, Philosophy, Literature and Electronics (and anime).

Whether you need help with something or you just want to talk feel free to reach out to me on hrafik1122@gmail.com and check my website OuariachiRafik.github.io

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  1. QRT-Datachallenge-Prediction-of-Overall-Survival-in-Patients-with-Myeloid-Leukemia QRT-Datachallenge-Prediction-of-Overall-Survival-in-Patients-with-Myeloid-Leukemia Public

    Forked from rakimed25/QRT-Datachallenge-Prediction-of-Overall-Survival-in-Patients-with-Myeloid-Leukemia

    -Group project

    Jupyter Notebook 1

  2. autograd-engine autograd-engine Public

    Micrograd extended from scalars to tensors, a from-scratch NumPy autograd engine with gradient-checked ops, built to run real architectures (RNN, LSTM, Transformer) on top.

    Python

  3. flash-attention-in-cuda-from-scratch flash-attention-in-cuda-from-scratch Public

    Build a tiled, IO-aware Flash Attention implementation in CUDA, starting from elementary GPU primitives and progressing to a fused online-softmax attention kernel. Along the way you implement a nai…

    Python

  4. football football Public

    Forked from google-research/football

    Python

  5. pymarl3 pymarl3 Public

    Forked from tjuHaoXiaotian/pymarl3

    We extend pymarl2 to pymarl3, equipping the MARL algorithms with permutation invariance and permutation equivariance properties. The enhanced algorithm achieves 100% win rates on SMAC-V1 and superi…

    Python

  6. DM_GNN DM_GNN Public

    A python implementation of the paper: "Dual-stream multi-dependency graph neural network enables precise cancer survival analysis"

    Python 2 1