lucasb-eyer

big_transfer

Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.

Backprop.jl

Textbook implementation of backprop (from the Jacobian point of view) in Julia.

d3-boundingbox

D3.js lib to give any element with x,y,width,height attributes a resizable, movable behaviour similar to interact.js.

flex-bison-indentation

An example of how to correctly parse python-like indentation-scoped files using flex (and bison).

go-colorful

A library for playing with colors in go (golang).

lbtoolbox

My personal toolbox for doing datascience (especially deep learning) in python.

libheatmap

High performance C heatmap generation library. Supposed to be wrapped by higher-level languages.

nonlocal-tf

TensorFlow implementation of the Non-local Neural Network block in its various forms.

pydensecrf

Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.

triplet-reid

Code for reproducing the results of our "In Defense of the Triplet Loss for Person Re-Identification" paper.

lucasb-eyer/pydensecrf

Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.

lucasb-eyer/go-colorful

A library for playing with colors in go (golang).

lucasb-eyer/libheatmap

High performance C heatmap generation library. Supposed to be wrapped by higher-level languages.

lucasb-eyer/flex-bison-indentation

An example of how to correctly parse python-like indentation-scoped files using flex (and bison).

lucasb-eyer/lbtoolbox

My personal toolbox for doing datascience (especially deep learning) in python.

lucasb-eyer/BiternionNet

Code used to produce the results of the paper "BiternionNets: Continuous Head Pose Regression from Discrete Training Labels"

lucasb-eyer/big_vision

Official codebase used to develop Vision Transformer, MLP-Mixer, LiT and more.

lucasb-eyer/flax

Flax is a neural network library for JAX that is designed for flexibility.

lucasb-eyer/triplet-reid

Code for reproducing the results of our "In Defense of the Triplet Loss for Person Re-Identification" paper.

lucasb-eyer/assembled-cnn

Tensorflow implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"

lucasb-eyer/big_transfer

Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.

lucasb-eyer/chex

lucasb-eyer/cinnamon-spices-extensions

Extensions for the Cinnamon desktop

lucasb-eyer/cocoapi

COCO API - Dataset @ http://cocodataset.org/

lucasb-eyer/datasets

TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...

lucasb-eyer/detta

Detection-Tracking for Efficient Person Analysis: The DetTA Pipeline

lucasb-eyer/fish-shell

The user-friendly command line shell.

lucasb-eyer/football

lucasb-eyer/highlight.js

Javascript syntax highlighter

lucasb-eyer/inplace_abn

In-Place Activated BatchNorm for Memory-Optimized Training of DNNs

lucasb-eyer/jax

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

lucasb-eyer/mean-teacher

A state-of-the-art semi-supervised method for image recognition

lucasb-eyer/moco-v3

PyTorch implementation of MoCo v3 https//arxiv.org/abs/2104.02057

lucasb-eyer/parameter_efficiency_leaderboard

The most parameter efficient machine learning models on a few popular benchmarks

lucasb-eyer/playground

PlayGround: AI Research into Multi-Agent Learning.

lucasb-eyer/realistic-ssl-evaluation

Open source release of the evaluation benchmark suite described in "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"

lucasb-eyer/rivalcfg

Configure SteelSeries gaming mice

lucasb-eyer/sotabench-eval

Easily evaluate machine learning models on public benchmarks

lucasb-eyer/tdw

ThreeDWorld simulation environment

lucasb-eyer/tools

Tools for many things