Abhishek Singh (o-Senpai-o)

o-Senpai-o

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Location:Bangalore, Karnataka, IN

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Abhishek Singh's repositories

machine-learning-interview

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

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agents

An Open-source Framework for Autonomous Language Agents

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AI-ML-cheatsheets

Cheatsheets for AI and Machine Learning

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Airflow-tuts

learning assignments for airflow

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applied-ml-system-design

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

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Grammarly

Simple Deep learning End-to-End Mlops project covering most of mlops topics like : configuration management , model monitoring, Containerization, CI/CD, Deployment, ONNX etc

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Graph_neural_networks

Zero-to-hero for Graph Neural Networks

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Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising

Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neural Networks, Transfer Learning, Reinforcement Learning, Self-supervised Learning and so on.

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AWS-sagemaker

Everything regarding sagemaker

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Captcha-predictions

Automate the reading of captcha images . Given the image of a captcha , predict the characters in the captcha.

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DataScience_Interview_Questions

My Solutions to 120 commonly asked data science interview questions.

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Machine-Learning-tricks

Some tricks that are worth giving a try.

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Natural-Language-Processing

Repo for everything natural language processing

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nlp-architect

A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language Processing neural networks

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Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

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Ranking_Papers

Papers on recommendation system / search ranking.

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recommenders

Best Practices on Recommendation Systems

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Resume-Referral

templates for resume and referrals

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roboflow_CV_notebooks

Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.

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rust-bert

Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)

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Semantic-Search

semantic Search application using vector databases and Sbert

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Smart-watch

Predict the activity of a human based on sensory data from its smart watch

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statsintro_python

Python modules and IPython Notebooks, for the book "Introduction to Statistics With Python"

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TPU_training

template to train models on TPUs

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tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

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Web-Scraping-Selenium-

Scrapped a website containing Leetcode questions with premium subscription only tags (contact in case you need the data)

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