ashishjv1
I am a Machine Learning Researcher and an applied scientist in the field of Neural Network optimization, model compression and video/image compression.
Skolkovo Institute of TechnologyGottingen, Germany
Pinned Repositories
Attacker_attribution
Thesis
CNN_compression_rank_selection_BayesOpt
Bayesian Optimization-Based Global Optimal Rank Selection for Compression of Convolutional Neural Networks, IEEE Access
CRIB_DRAG-KEY_REUSE
Parallel Implementation of Crib Drag Attack for One Time Pad Key Reuse.
CyberAttack_Profiling
We use low-level attributes ("bash-history") to classify an attack behavior in a CPTC dataset. This repo is the implementation for the paper Cyber Attacker Profiling for Risk Analysis based on Machine Learning.
DeepCore
Code for coreset selection methods
dla
Code for the CVPR 2018 Oral Paper "Deep Layer Aggregation"
Eco2AI
eco2AI is a python library which accumulates statistics about power consumption and CO2 emission during running code.
Image-Video-Compression
Image and End to End Video Compression
interview-help
pent3st3r
A simple bash script to automate kali tools.
ashishjv1's Repositories
ashishjv1/pent3st3r
A simple bash script to automate kali tools.
ashishjv1/CyberAttack_Profiling
We use low-level attributes ("bash-history") to classify an attack behavior in a CPTC dataset. This repo is the implementation for the paper Cyber Attacker Profiling for Risk Analysis based on Machine Learning.
ashishjv1/Attacker_attribution
Thesis
ashishjv1/CNN_compression_rank_selection_BayesOpt
Bayesian Optimization-Based Global Optimal Rank Selection for Compression of Convolutional Neural Networks, IEEE Access
ashishjv1/CRIB_DRAG-KEY_REUSE
Parallel Implementation of Crib Drag Attack for One Time Pad Key Reuse.
ashishjv1/DeepCore
Code for coreset selection methods
ashishjv1/dla
Code for the CVPR 2018 Oral Paper "Deep Layer Aggregation"
ashishjv1/Eco2AI
eco2AI is a python library which accumulates statistics about power consumption and CO2 emission during running code.
ashishjv1/Image-Video-Compression
Image and End to End Video Compression
ashishjv1/interview-help
ashishjv1/loss-landscape
Code for visualizing the loss landscape of neural nets
ashishjv1/LW-ALM
Implementation of the Lightweight Attribute Specific Localization Model.
ashishjv1/LibAUC
LibAUC: A Deep Learning Library for X-Risk Optimization
ashishjv1/LLM-Pruner
[NeurIPS 2023] LLM-Pruner: On the Structural Pruning of Large Language Models. Support Llama-3/3.1, Llama-2, LLaMA, BLOOM, Vicuna, Baichuan, TinyLlama, etc.
ashishjv1/loss-landscapes
Approximating neural network loss landscapes in low-dimensional parameter subspaces for PyTorch
ashishjv1/mlops-course
Learn how to design, develop, deploy and iterate on production-grade ML applications.
ashishjv1/mobileNetV2
To Test CIFAR-100
ashishjv1/NN_Compression_Variance_Correction
Variance Correction for NN Compression
ashishjv1/Pruning
ashishjv1/Torch-Pruning
[CVPR 2023] Towards Any Structural Pruning; LLMs / SAM / Diffusion / Transformers / YOLOv8 / CNNs