ianomunga
Research Engineer with a passion for working on problems that are most effectively solved by optimal, algorithmic ML & DL
Vectorgram HealthNairobi, Kenya
ianomunga's Stars
google-deepmind/alphageometry
urmagicsmine/MP3D
Code of paper: Revisiting 3D Context Modeling with Supervised Pre-training for Universal Lesion Detection on CT Slices
urmagicsmine/CSPR
Code of paper 'Advancing 3D Medical Image Analysis with Variable Dimension Transform based Supervised 3D Pre-training'
lucidrains/ring-attention-pytorch
Implementation of 💍 Ring Attention, from Liu et al. at Berkeley AI, in Pytorch
ray-project/llm-numbers
Numbers every LLM developer should know
Lightning-AI/litgpt
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
triton-lang/triton
Development repository for the Triton language and compiler
BMEII-AI/RadImageNet
RadImageNet, a pre-trained convolutional neural networks trained solely from medical imaging to be used as the basis of transfer learning for medical imaging applications.
christianversloot/machine-learning-articles
🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
jupyterlab/jupyterlab
JupyterLab computational environment.
riblidezso/frcnn_cad
Computer aided detection using Faster-RCNN
nyukat/mammography_metarepository
Meta-repository of screening mammography classifiers
Emory-HITI/EMBED_Open_Data
Data descriptor and sample notebooks for the Emory Breast Imaging Dataset (EMBED) hosted on the AWS Open Data Program
PennyLaneAI/pennylane
PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network.
awf/functional-transformer
A pure-functional implementation of a machine learning transformer model in Python/JAX
kevinzg/facebook-scraper
Scrape Facebook public pages without an API key
vinbigdata-medical/vindr-mammo
google-deepmind/perception_test
lwtnn/lwtnn
light NN client
google-research/bert
TensorFlow code and pre-trained models for BERT
tensorflow/tensor2tensor
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
sgorbuno/TrackML_CombinatorialTracker
a combinatorial tracker for Kaggle TrackML Particle Tracking Challenge
google-deepmind/dm-haiku
JAX-based neural network library
google-deepmind/sonnet
TensorFlow-based neural network library
labmlai/annotated_deep_learning_paper_implementations
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
google-research/big_vision
Official codebase used to develop Vision Transformer, SigLIP, MLP-Mixer, LiT and more.
mungaihehe/todo-serverless
github/copilot-docs
Documentation for GitHub Copilot
facebookresearch/pytorch3d
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
openai/spinningup
An educational resource to help anyone learn deep reinforcement learning.