- Cambridge, UK
- javierantoran.github.io
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Everything you want to know about Google Cloud TPU
jharrymoore / openmm-ml
Forked from openmm/openmm-mlHigh level API for using machine learning models in OpenMM simulations
jharrymoore / openmmtools
Forked from dominicrufa/openmmtoolsA batteries-included toolkit for the GPU-accelerated OpenMM molecular simulation engine.
Jax implementation for the paper "Sampling-based inference for large linear models, with application to linearised Laplace"
Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"
Fast and Easy Infinite Neural Networks in Python
Benchmarks for the Synbols project. Synbols is a ServiceNow Research project that was started at Element AI.
Code for the paper "Bayesian Neural Network Priors Revisited"
Differentiable convex optimization layers
A Python-embedded modeling language for convex optimization problems.
Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.
PyTorch-SSO: Scalable Second-Order methods in PyTorch
Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)
Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters
Model interpretability and understanding for PyTorch
PyTorch Implementation of "Distilling a Neural Network Into a Soft Decision Tree." Nicholas Frosst, Geoffrey Hinton., 2017.
Probabilistic Programming with Gaussian processes in Julia
Source for the sample efficient tabular RL submission to the 2019 NIPS workshop on Biological and Artificial RL
Attention prediction model based on uncertainty
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …
CuckooML: Machine Learning for Cuckoo Sandbox