Koby Bibas's repositories
kobybibas.github.io
My presonal website
deep_pnml_experiments
Python experiments for https://arxiv.org/abs/1904.12286.
dinov2-finetune
Testing adaptation of the DINOv2 encoder for vision tasks with Low-Rank Adaptation (LoRA)
LLaVA
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
pnml_ood_detection
Out-of-distribution detection using the pNML regret. NeurIPS2021
pnml_linear_regression_simulation
Python simulation for the paper https://arxiv.org/abs/1905.04708.
minbpe
Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.
RAVE
RAVE: Randomized Noise Shuffling for Fast and Consistent Video Editing with Diffusion Models - Official Repo
pnml_for_active_learning
Deep Active Learning
DreamPose
A fork of the Official implementation of "DreamPose: Fashion Image-to-Video Synthesis via Stable Diffusion"
CoDeF
Based on th official PyTorch implementation of CoDeF: Content Deformation Fields for Temporally Consistent Video Processing
pnml_for_dnn
Appyling pNML for deep nerual networks by purnning
pnml_active_learning
Library to enable Bayesian active learning in your research or labeling work.
blahut_arimoto_algorithm
Python implementation of Blahut-Arimoto algorithm for calculating the capacity of a communication channel.
cactus
CollaborAtive ConTent UnderStanding
vto-garment-collisions
Self-Supervised Collision Handling via Generative 3D Garment Models for Virtual Try-On
CryoEM_rotation_invariant
Source code for the paper
odin
A simple and effective method for detecting out-of-distribution images in neural networks.
test_tube_classification
Histogram based tubes classification.
mixture_learner_experiments
Python experimnet for "The Predictive Mixture Learner"
semi_global_matching
Compute disparity map from stereo image with semi global matching algorithm.
optical_flow_lucas_kanade
Implementation of Lucas–Kanade optical flow in Matlab.
udacity_deep_learning_solutions
Solutions for Udacity deep learning course
CloserLookFewShot
source code to ICLR'19, 'A Closer Look at Few-shot Classification'
pnml_linear_regression_isit_2019_latex
Latex files of the paper https://arxiv.org/abs/1905.04708.
training_with_random_labels
Train Resnet on CIFAR10 dataset with option to train it with random labels