bibhabasumohapatra's Stars
karpathy/LLM101n
LLM101n: Let's build a Storyteller
karpathy/llama2.c
Inference Llama 2 in one file of pure C
openai/swarm
Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.
eriklindernoren/PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
microsoft/BitNet
Official inference framework for 1-bit LLMs
karpathy/minbpe
Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.
LargeWorldModel/LWM
Large World Model -- Modeling Text and Video with Millions Context
openseg-group/openseg.pytorch
The official Pytorch implementation of OCNet, OCRNet, and SegFix.
trent-b/iterative-stratification
scikit-learn cross validators for iterative stratification of multilabel data
Visual-Attention-Network/SegNeXt
Official Pytorch implementations for "SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation" (NeurIPS 2022)
hkproj/pytorch-stable-diffusion
Stable Diffusion implemented from scratch in PyTorch
facebookresearch/NeuralCompression
A collection of tools for neural compression enthusiasts.
lhoyer/DAFormer
[CVPR22] Official Implementation of DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation
gordicaleksa/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.
JunMa11/MedUncertainty
Uncertainty in Medical Image Analysis
lhoyer/MIC
[CVPR23] Official Implementation of MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation
RahulSChand/llama2.c-for-dummies
Step by step explanation/tutorial of llama2.c
sayakpaul/cmmd-pytorch
PyTorch implementation of CLIP Maximum Mean Discrepancy (CMMD) for evaluating image generation models.
deepchem/moleculenet
Moleculenet.ai Datasets And Splits
chihkuanyeh/concept_exp
code release for the paper "On Completeness-aware Concept-Based Explanations in Deep Neural Networks"
umar07/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.
SwayamInSync/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.
xmed-lab/ECBM
ICLR 2024: Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations
arnav-gudibande/conceptSHAP
PyTorch Transformer-based Language Model Implementation of ConceptSHAP
transmuteAI/ultramnist
Official Repository related to UltraMNIST classification benchmark
bibhabasumohapatra/Vision_Transformer_from_scratch
Inspired from previous repository, LikeTorch (from scratch numpy library) this with ViT for learning and undertanding purposes
ranganathkrishnan/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
NielsRogge/CrossMAE
Official Implementation of the CrossMAE paper: Rethinking Patch Dependence for Masked Autoencoders
bibhabasumohapatra/segmentation_models.pytorch
Segmentation models with pretrained backbones. PyTorch.
vfdev-5/pybind11
Seamless operability between C++11 and Python