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aim

Aim 💫 — An easy-to-use & supercharged open-source AI metadata tracker (experiment tracking, prompt engineering)

ais

Annealed Importance Sampling (AIS) for generative models.

aoc

Advent of Code

burgers-in-space

A blog website

cholesky

dap-rosdamhoeve

dap-rosdamhoeve-hugo

datasets

Repo that downloads and stores a couple of datasets and gives you an easy API to access them.

dotfiles

epymetheus

Multi-asset backtesting framework. An intuitive API lets analysts try out their strategies right away. Fast execution of profit-take/loss-cut orders is built-in. Seamless with Pandas.

fluid

Lightweight Reactive Python framework for Web

fyr

A LaTeX / XeLaTeX / LuaLaTeX PhD thesis template for Cambridge University Engineering Department (CUED)

gpflow

Gaussian processes in TensorFlow

gpflow-monitor

Methods to help with logging GPflow optimisation.

gpjax

A didactic Gaussian process package for researchers in Jax.

gpsonspheres

Fast Gaussian Processes on Spheres

graphics

TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow

iamdinosaur

🦄 An Artificial Inteligence to teach Google's Dinosaur to jump cactus

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

malmo-challenge

Task and example code for the Malmo Collaborative AI Challenge

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

mdns-in-gpflow

ml-tools

Collection of tools for monitoring, checkpointing and configuration of machine learning experiments.

mlatcl.github.io

ML @ CL fork

neural-diffusion-processes

Neural Diffusion Processes

neuralprocesses

A framework for composing Neural Processes in Python

neurips-2021-cambridge-meetup

Website for NeurIPS 2021 Cambridge Meetup

ny-taxi-data

personal-website-gatsby

Personal website written in Gatsby with bootstrap styling

picograd

Minimal Automatic Differentiation Engine in Julia. Inspired by micrograd.