bibhabasumohapatra

conceptSHAP

PyTorch Transformer-based Language Model Implementation of ConceptSHAP

marvinschmitt-dot-com

ECBM

ICLR 2024: Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations

pytorch-deepdream

PyTorch implementation of DeepDream algorithm (Mordvintsev et al.). Additionally I've included playground.py to help you better understand basic concepts behind the algo.

LLM101n

LLM101n: Let's build a Storyteller

concept_exp

code release for the paper "On Completeness-aware Concept-Based Explanations in Deep Neural Networks"

llama2.c-for-dummies

Step by step explanation/tutorial of llama2.c

llama2.c

Inference Llama 2 in one file of pure C

Top-Indian-Professors-for-Computer-Vision

An institute wise list of top Indian professors who research in the field of Machine Learning, Deep Learning and Computer Vision.

Vision_Transformer_from_scratch

Inspired from previous repository, LikeTorch (from scratch numpy library) this with ViT for learning and undertanding purposes

pytorch-stable-diffusion

Stable Diffusion implemented from scratch in PyTorch

DAFormer

[CVPR22] Official Implementation of DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation

LWM

minbpe

Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.

moleculenet

Moleculenet.ai Datasets And Splits

cmmd-pytorch

PyTorch implementation of CLIP Maximum Mean Discrepancy (CMMD) for evaluating image generation models.

CrossMAE

Official Implementation of the CrossMAE paper: Rethinking Patch Dependence for Masked Autoencoders

SegNeXt

Official Pytorch implementations for "SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation" (NeurIPS 2022)

MIC

[CVPR23] Official Implementation of MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation

openseg.pytorch

The official Pytorch implementation of OCNet series and SegFix.

PyTorch-GAN

PyTorch implementations of Generative Adversarial Networks.

iterative-stratification

scikit-learn cross validators for iterative stratification of multilabel data

ultramnist

Official Repository related to UltraMNIST classification benchmark

bayesian-torch

Bayesian-Torch is a library of neural network layers and utilities extending the core of PyTorch to enable the user to perform stochastic variational inference in Bayesian deep neural networks

MedUncertainty

Uncertainty in Medical Image Analysis

segmentation_models.pytorch

Segmentation models with pretrained backbones. PyTorch.

3D-Cervical-Spine-Segmentation-and-Multi-Vertebrae-Fracture-Detection

Cervical spine 3D segmentation and classification using machine learning to detect fractures and assess vertebrae health.

ProxVision

An Artificial Intelligence powered device for blind people.

google-research

Google Research

Kaggle-HuBMap-maskrcnn

Segment intstances of microvascular structures from health human kidney tissue slides.