Pinned Repositories
code-soup
This is a collection of algorithms and approaches used in the book adversarial deep learning
behavior-in-the-wild.github.io
Our aim is to explore the Behavior Modality. This involves explaining, predicting, and optimizing human behavior in the real world, especially from the context of marketing, advertising, and computational social science. Applications include targeting, personalization, recommendation, marketing content generation, etc.
data-free-uats
decepticonlp
Python Library for Robustness Monitoring and Adversarial Debugging of NLP models
2048-Language
BITS F363 Assignment
Commonsense-Reasoning
My reading list on advancements in Commonsense Reasoning in Natural Language Processing
CTE-Intro-To-Machine-Learning
Assignments of the course Introduction to Machine Learning
Few-Shot-GNN
Implementation and Analysis of Few shot learning with graph neural networks ICLR 2018
FlaiReddit-MIDAS
A Webapp deployed on Heroku which detects the 'flair' tags of a Reddit Post from the subreddit r/india
someshsingh22.github.io
This is my personal website at somesingh22.github.io
someshsingh22's Repositories
someshsingh22/Commonsense-Reasoning
My reading list on advancements in Commonsense Reasoning in Natural Language Processing
someshsingh22/awesome-media-memorability
🤩 An AWESOME Curated List of Papers, Workshops, Datasets, and Challenges in Media Memorability
someshsingh22/ContinualLearning
Continual Learning
someshsingh22/someshsingh22.github.io
This is my personal website at somesingh22.github.io
someshsingh22/yt-scraper
Large Scale YouTube Scraper
someshsingh22/ad-memorability
someshsingh22/awesome-human-behavior
🤩 An AWESOME Curated List of Papers, Workshops, Datasets, and Challenges in Computational Human Behavior
someshsingh22/awesome-list-behavioral-science
someshsingh22/behavior-in-the-wild.github.io
Our aim is to explore the Behavior Modality. This involves explaining, predicting, and optimizing human behavior in the real world, especially from the context of marketing, advertising, and computational social science. Applications include targeting, personalization, recommendation, etc.
someshsingh22/code-soup
This is a collection of algorithms and approaches used in the book adversarial deep learning
someshsingh22/cookiebutter
Simple Scripts That I use often
someshsingh22/csal
CSAL
someshsingh22/csal2
someshsingh22/data-free-uats
someshsingh22/flux-edit-api
someshsingh22/lc0
The rewritten engine, originally for tensorflow. Now all other backends have been ported here.
someshsingh22/LLaMA-VID
Official Implementation for LLaMA-VID: An Image is Worth 2 Tokens in Large Language Models
someshsingh22/marketingWorld
A simulator for digital marketing
someshsingh22/minimal-mistakes
:triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.
someshsingh22/neural-image-assessment
Implementation of NIMA: Neural Image Assessment in Keras
someshsingh22/nnue-pytorch
Stockfish NNUE (Chess evaluation) trainer in Pytorch
someshsingh22/notification
Simple Email App to send me notifications
someshsingh22/Open-Assistant
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
someshsingh22/PromptAgent
This is the official repo for "PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization". PromptAgent is a novel automatic prompt optimization method that autonomously crafts prompts equivalent in quality to those handcrafted by experts, i.e., expert-level prompts.
someshsingh22/someshsingh22
someshsingh22/TDAKey
Keyphrase Extraction using Topological Features
someshsingh22/universal-triggers
Universal Adversarial Triggers for Attacking and Analyzing NLP (EMNLP 2019)
someshsingh22/vid-behaviour
someshsingh22/Video-Pre-Training
Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos
someshsingh22/visem
Visual Emotions