mwohlers

footballanalysis

SportsLabKit

A python package for turning sports video into csv files

EUGENe

Elucidating the Utility of Genomic Elements with Neural Nets

Llama-2-Open-Source-LLM-CPU-Inference

Running Llama 2 and other Open-Source LLMs on CPU Inference Locally for Document Q&A

insightface

State-of-the-art 2D and 3D Face Analysis Project

AI-For-Beginners

12 Weeks, 24 Lessons, AI for All!

CheatSheets

Just a place to store cheatsheets

DeepMVI

FT-Transformer---TensorFlow

rtdl-num-embeddings

(NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning

TabTransformerTF

TensorFlow implementation of TabTransformer

transformer

Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.

Comparing-End-to-End-Machine-Learning-Methods-for-Spectra-Classification

30DayMapChallenge

The official website for #30DayMapChallenge, It is a daily mapping/cartography/data visualization challenge aimed at the spatial community. Code for map submissions.

understandingbdl

localvsglobaluncertainty

Empirical analysis of recent stochastic gradient methods for approximate inference in Bayesian deep learning, including SWA-Gaussian, MultiSWAG, and deep ensembles. See report_localglobal.pdf.

rexamples

worked R examples

GPBoost

Combining tree-boosting with Gaussian process and mixed effects models

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, ... 🧠

lmmnn

instant-ngp

Instant neural graphics primitives: lightning fast NeRF and more

modelsummary

Beautiful and customizable model summaries in R.

meta-ot

Meta Optimal Transport

uncertainty-baselines

High-quality implementations of standard and SOTA methods on a variety of tasks.

phenom

A hierarchical non-parametric microbial phenotype model

DataAugmentationTF

Implementation of modern data augmentation techniques in TensorFlow 2.x to be used in your training pipeline.

google-research

Google Research

amazon-sagemaker-feature-store-end-to-end-workshop

diffeomorphism

Apply maximum-entropy diffeomorphisms to images

dtan

Official PyTorch implementation for our NeurIPS 2019 paper, Diffeomorphic Temporal Alignment Nets. TensorFlow\Keras version is available at tf_legacy branch.