epignatelli
Assistant Professor (UK Lecturer, Teaching) @ UCL. PhD @ UCL. Previously ML Lead at @BuroHappoldEngineering and RA at @ImperialCollegeLondon
University College London (UCL)London
Pinned Repositories
BHoM
The Buildings and Habitats Core object Model repo
cardiax
A python implementation of the fenton karma model using fourth order accuracy central finite difference method, euler update scheme, and jax
discovering-reinforcement-learning-algorithms
A Jax/Stax implementation of the general meta learning paper: Oh, J., Hessel, M., Czarnecki, W.M., Xu, Z., van Hasselt, H.P., Singh, S. and Silver, D., 2020. Discovering reinforcement learning algorithms. Advances in Neural Information Processing Systems, 33.
helx
Interoperating between (Deep) Reiforcement Learning libraries
human-level-control-through-deep-reinforcement-learning
A jax/stax implementation of: Mnih, V., Kavukcuoglu, K., Silver, D., Rusu, A.A., Veness, J., Bellemare, M.G., Graves, A., Riedmiller, M., Fidjeland, A.K., Ostrovski, G. and Petersen, S., 2015. Human-level control through deep reinforcement learning. nature, 518(7540), pp.529-533.
navix
Accelerated minigrid environments with JAX
reinforcement-learning-an-introduction
A python implementation of the concepts in the book "Reinforcement Learning: An Introduction" by R.S. Sutton and A. G. Barto.
scalable-recognition-with-a-vocabulary-tree
A python implementation of the paper "Scalable Recognition with a Vocabulary Tree, D. Nister, H. Stewenius, 2006"
bsuite
bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent
jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
epignatelli's Repositories
epignatelli/navix
Accelerated minigrid environments with JAX
epignatelli/scalable-recognition-with-a-vocabulary-tree
A python implementation of the paper "Scalable Recognition with a Vocabulary Tree, D. Nister, H. Stewenius, 2006"
epignatelli/helx
Interoperating between (Deep) Reiforcement Learning libraries
epignatelli/jax_enums
A Jax-compatible enumerable.
epignatelli/lfrl
epignatelli/LMaaS
Language Models as a Service
epignatelli/5-Hackathon-1-solutions
epignatelli/algorithms-basics
epignatelli/awesome-jax
JAX - A curated list of resources https://github.com/google/jax
epignatelli/cv
epignatelli/epignatelli.github.io
https://epignatelli.com
epignatelli/flax
Flax is a neural network library for JAX that is designed for flexibility.
epignatelli/generative-models
Generative Models by Stability AI
epignatelli/google-scholar-favicon
The missing google scholar favicon
epignatelli/helx-agents
epignatelli/helx-all
epignatelli/helx-envs
epignatelli/jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
epignatelli/jwave
A JAX-based research framework for differentiable and parallelizable acoustic simulations, on CPU, GPUs and TPUs
epignatelli/minihack
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research
epignatelli/nle
The NetHack Learning Environment
epignatelli/nle-language-wrapper
Nethack Learning Environment Wrapper for Language Interface
epignatelli/purejaxrl
Really Fast End-to-End Jax RL Implementations
epignatelli/rl-starter-files-RGB
epignatelli/roll
epignatelli/solange
epignatelli/SPPO
epignatelli/text-generation-inference
Large Language Model Text Generation Inference
epignatelli/wedding
epignatelli/whisper
Robust Speech Recognition via Large-Scale Weak Supervision