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University of Tübingen
- Tübingen
- ashishpapanai.github.io
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Google Research
This repository contains implementations and illustrative code to accompany DeepMind publications
LAVIS - A One-stop Library for Language-Vision Intelligence
Python code for "Probabilistic Machine learning" book by Kevin Murphy
An adversarial example library for constructing attacks, building defenses, and benchmarking both
Notebooks for learning deep learning
This is Andrew NG Coursera Handwritten Notes.
📚 Jupyter notebook tutorials for OpenVINO™
An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collec…
Algorithms for outlier, adversarial and drift detection
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Chess reinforcement learning by AlphaGo Zero methods.
[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.
A Repository consisting resources primarily of the Gate DA and AI
A collection of 360+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping
A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.
[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-…
A simple probabilistic programming language.
Code repository for the online course Feature Engineering for Machine Learning
A Simple pytorch implementation of GradCAM and GradCAM++
Ads97 / WhatsApp-Llama
Forked from meta-llama/llama-cookbookFinetune a LLM to speak like you based on your WhatsApp Conversations
Reinforcement Learning examples implementation and explanation
Probing the representations of Vision Transformers.
(CVPR 2022) Pytorch implementation of "Self-supervised transformers for unsupervised object discovery using normalized cut"
Visualizing Yolov5's layers using GradCam
Building detection from the SpaceNet dataset by using Mask RCNN.
Official Code Implementation of the paper : XAI for Transformers: Better Explanations through Conservative Propagation
An open toolbox for NSFW & toxicity detection