stevenabreu7
AI PhD student, interested in brain-inspired ML and physical computing
University of Groningen, NL
Pinned Repositories
conceptors
Conceptors
adaptiveRL2
Adaptive (RL)²: representation learning for adaptive reinforcement learning. Using differentiable plasticity, state-space models, and deep RL.
automated-forward-thinking-keras
[AutoML] A Python Keras implementation to an automated adaption of the Forward Thinking algorithm proposed by Hettinger et al. in 2017
cnn_speaker_verification
[NLP] Implementing and Training of a Convolutional Neural Network to do Speaker Verification, i.e. decide whether two utterances (speech segments) were produced by the same speaker.
deep-rl-tennis
[Deep RL] Learning to play tennis using deep reinforcement learning in Unity's RL environment.
dvs_flow
Code for paper "Flow cytometry with event-based vision and spiking neuromorphic hardware"
handson_reservoir
Repository for paper "Hands-on reservoir computing" (NCE, 2022)
LavaNIR
NIR implementation for Lava-DL
Q-S5
Quantized version of the simplified state space model (S5). Using AQT and JAX.
SwiftSudoku
Sudoku Game implemented in Swift with Xcode with an AI solver that solves every Sudoku puzzle very fast!
stevenabreu7's Repositories
stevenabreu7/handson_reservoir
Repository for paper "Hands-on reservoir computing" (NCE, 2022)
stevenabreu7/adaptiveRL2
Adaptive (RL)²: representation learning for adaptive reinforcement learning. Using differentiable plasticity, state-space models, and deep RL.
stevenabreu7/LavaNIR
NIR implementation for Lava-DL
stevenabreu7/luuk-msc-thesis
stevenabreu7/Q-S5
Quantized version of the simplified state space model (S5). Using AQT and JAX.
stevenabreu7/reservoir_benchmarking
Repository for benchmarking different physical reservoir computing systems.
stevenabreu7/dvs_flow
Code for paper "Flow cytometry with event-based vision and spiking neuromorphic hardware"
stevenabreu7/aestream
Efficient streaming of sparse event data supporting files, network I/O, GPU peripherals and neuromorphic protocols
stevenabreu7/annotated-s4
Implementation of https://srush.github.io/annotated-s4
stevenabreu7/aqt
stevenabreu7/conceptorsteering
Attempting to steer the behaviour of a GPT-2XL model using conceptors
stevenabreu7/conceptorsteering_old
stevenabreu7/dm_control
DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
stevenabreu7/eventvision2023
stevenabreu7/expelliarmus
A Python/C library for decoding DVS encodings from binary files to structured NumPy arrays of events.
stevenabreu7/jax_dp_dqn
JAX-based implementation of a DQN with differential plasticity. 'tis a mess, work in progress
stevenabreu7/lava
A Software Framework for Neuromorphic Computing
stevenabreu7/lava-dl
Deep Learning library for Lava
stevenabreu7/lm-evaluation-harness
A framework for few-shot evaluation of language models.
stevenabreu7/mamba
Mamba SSM architecture
stevenabreu7/MoCapAct
A Multi-Task Dataset for Simulated Humanoid Control
stevenabreu7/neuroprimitives
neurocomputational primitives
stevenabreu7/NIR
Neuromorphic Intermediate Representation reference implementation
stevenabreu7/parse-ego4d
stevenabreu7/rag-state-soups
Using state soups for RAG with SSMs like Mamba. Part of the L&T topic area at Telluride 2024.
stevenabreu7/snntorch
Deep and online learning with spiking neural networks in Python
stevenabreu7/spyx
Spyx: Spiking Neural Networks in JAX
stevenabreu7/stable-baselines3
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
stevenabreu7/stevenabreu7.github.io
Personal website. Forked from alshedivat/al-folio.
stevenabreu7/tt04-verilog-demo
Tiny neuromorphic takeout 2023!