The nnsight package enables interpreting and manipulating the internals of deep learned models.

Implementation of Soft MoE, proposed by Brain's Vision team, in Pytorch

A repository for transformer critique learning and generation

Add local LLMs to your Web or Electron apps! Powered by Rust WebGPU

Implementation of ST-Moe, the latest incarnation of MoE after years of research at Brain, in Pytorch

Keeping language models honest by directly eliciting knowledge encoded in their activations.

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High-Resolution Image Synthesis with Latent Diffusion Models

For experiments involving instruct gpt. Currently used for documenting open research questions.

A setup for using hydra and pytorch lightning.

A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)

Evolution Through Large Models

scivision: a framework for scientific image analysis

A conda-smithy repository for geograph.

Hydra is a framework for elegantly configuring complex applications

Paper list for equivariant neural network

GeoGraph provides a tool for analysing habitat fragmentation and related problems in landscape ecology. GeoGraph builds a geospatially referenced graph from land cover or field survey data and enab…

Latex code for making neural networks diagrams

Code / solutions for Mathematics for Machine Learning (MML Book)

Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

Data for Environmental Intelligence: A mega list of Earth System Datasets covering earth observations, climate, water, forests, biodiversity, ecology, protected areas, natural hazards, marine and t…

Code for my medium article

Dockerfile utilizing flask to host a scikit-learn image recognition model

Summaries and notes on Deep Learning research papers

This will contain my notes for research papers that I read.

The most cited deep learning papers

Image augmentation library in Python for machine learning.