Vivek9Chavan
I'm a Research Associate, currently pursuing a PhD in AI/Machine Learning and Computer Vision.
Berlin, Germany
Pinned Repositories
ADCM
Active Data Collection and Management for Real-World Continual Learning
attention-is-all-you-need-pytorch
A PyTorch implementation of the Transformer model in "Attention is All You Need".
Bachelors_Thesis
barlowtwins
For research investigation: PyTorch implementation of Barlow Twins.
BiFormer
Forked for research investigation: BiFormer- Vision Transformer with Bi-Level Routing Attention
CLIP
Forked for research: CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
CLIPasso
Forked for research
DeepLearning.AI-TensorFlow-Developer-Professional-Certificate
These projects were a part of the 4-course specialization
EgoVis24
Repository on the research work on Egocentric Computer Vision for Industrial use cases
RECIL
Real World Scenarios and Energy Efficiency Considerations for Class Incremental Learning (ICCV 2023)
Vivek9Chavan's Repositories
Vivek9Chavan/ADCM
Active Data Collection and Management for Real-World Continual Learning
Vivek9Chavan/EgoVis24
Repository on the research work on Egocentric Computer Vision for Industrial use cases
Vivek9Chavan/RECIL
Real World Scenarios and Energy Efficiency Considerations for Class Incremental Learning (ICCV 2023)
Vivek9Chavan/BiFormer
Forked for research investigation: BiFormer- Vision Transformer with Bi-Level Routing Attention
Vivek9Chavan/CLIP
Forked for research: CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Vivek9Chavan/consistency_models
For research investigation: Repo for consistency models.
Vivek9Chavan/Convolutional-KANs
Forked for research: Kolmogorov-Arnold Networks (KAN) for CNNs
Vivek9Chavan/DeepMIM
Forked for research investigation
Vivek9Chavan/deit
For research purposes: DeiT repository
Vivek9Chavan/Depth-Anything
Forked for research: Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
Vivek9Chavan/dino
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
Vivek9Chavan/dinov2
For research investigaton: PyTorch code and models for the DINOv2 self-supervised learning method.
Vivek9Chavan/dreamsim
Forked for research: DreamSim- Learning New Dimensions of Human Visual Similarity using Synthetic Data
Vivek9Chavan/Fooocus
For research: Focus on prompting and generating
Vivek9Chavan/IF_deep_floyd
For research investigation
Vivek9Chavan/ijepa
Forked for research: I-JEPA, the Image-based Joint-Embedding Predictive Architecture. First outlined in the CVPR paper, "Self-supervised learning from images with a joint-embedding predictive architecture."
Vivek9Chavan/incremental_learning.pytorch
Forked for Research: PODNet (ECCV20) and Ghost (CVPR-W21).
Vivek9Chavan/Inpaint-Anything
For research investigation: Inpaint anything using Segment Anything and inpainting models.
Vivek9Chavan/jepa
Forked for research: PyTorch code and models for V-JEPA self-supervised learning from video.
Vivek9Chavan/LLaVA
Forked for research: Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
Vivek9Chavan/metaseq
Repo for external large-scale work
Vivek9Chavan/openssl-simcore
Forked for research: Coreset Sampling from Open-Set for Fine-Grained Self-Supervised Learning (CVPR 2023)
Vivek9Chavan/patchcore-inspection
Forked for research
Vivek9Chavan/PyCIL
PyCIL: A Python Toolbox for Class-Incremental Learning
Vivek9Chavan/Qwen-VL
Forked for research: Qwen-VL chat & pretrained large vision language model proposed by Alibaba Cloud.
Vivek9Chavan/shap-e
Forked for research investigation: Generate 3D objects conditioned on text or images
Vivek9Chavan/stanford_alpaca
Forked for research investigation: Code and documentation to train Stanford's Alpaca models, and generate the data.
Vivek9Chavan/TorchIntegral
Forked for research: Integral Neural Networks in PyTorch
Vivek9Chavan/Transformer-Explainability
Forked for research: PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.
Vivek9Chavan/Video-Swin-Transformer
Forked for research: Implementation for "Video Swin Transformers".