epignatelli
Assistant Professor (UK Lecturer, Teaching) @ UCL. PhD @ UCL. Previously ML Lead at @BuroHappoldEngineering and RA at @ImperialCollegeLondon
University College London (UCL)London
epignatelli's Stars
openai/whisper
Robust Speech Recognition via Large-Scale Weak Supervision
OpenInterpreter/open-interpreter
A natural language interface for computers
Stability-AI/generative-models
Generative Models by Stability AI
stanfordnlp/dspy
DSPy: The framework for programming—not prompting—language models
huggingface/text-generation-inference
Large Language Model Text Generation Inference
librespot-org/librespot
Open Source Spotify client library
openxla/xla
A machine learning compiler for GPUs, CPUs, and ML accelerators
n2cholas/awesome-jax
JAX - A curated list of resources https://github.com/google/jax
facebookresearch/nle
The NetHack Learning Environment
RobertTLange/gymnax
RL Environments in JAX 🌍
chujiezheng/chat_templates
Chat Templates for 🤗 HuggingFace Large Language Models
brentyi/tyro
CLI interfaces & config objects, from types
keraJLi/rejax
google-research/visu3d
3d without friction (Torch, TF, Jax, Numpy)
epignatelli/navix
Accelerated minigrid environments with JAX
astrofrog/pypi-timemachine
Install packages with pip as if you were in the past!
heiner/nle
The NetHack Learning Environment
google-research/dataclass_array
Dataclasses manipulated as numpy arrays (with batching, reshape, slicing,...)
ASEM000/pytreeclass
Visualize, create, and operate on pytrees in the most intuitive way possible.
mpetroff/accessible-color-cycles
martinferianc/yamle
YAMLE: Yet Another Machine Learning Environment
epignatelli/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.
epignatelli/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.
BHoM/RDF_Prototypes
Research project of the Cluster of Excellence "Integrative Computational Design and Construction for Architecture" (IntCDC) https://www.intcdc.uni-stuttgart.de/ **Project Name**: Knowledge Representation for Multi-Disciplinary Co-Design of Buildings. https://www.intcdc.uni-stuttgart.de/research/research-projects/rp-20/
epignatelli/array_storage_benchmark
Compare some methods of array storage in Python (numpy)
epignatelli/cardiax
A python implementation of the fenton karma model using fourth order accuracy central finite difference method, euler update scheme, and jax
epignatelli/jax_enums
A Jax-compatible enumerable.
gabrielemirra/RL4R
An implementation of RL for reuse in structural design
LASP-UCL/lifetime-as-governing-reward
nauqs/msc-project