Abhishek Singh's repositories
recommenders
Best Practices on Recommendation Systems
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 ;)
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.
Web-Scraping-Selenium-
Scrapped a website containing Leetcode questions with premium subscription only tags (contact in case you need the data)
AWS-sagemaker
Everything regarding sagemaker
agents
An Open-source Framework for Autonomous Language Agents
machine-learning-interview
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
Resume-Referral
templates for resume and referrals
statsintro_python
Python modules and IPython Notebooks, for the book "Introduction to Statistics With Python"
rust-bert
Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)
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.
AI-ML-cheatsheets
Cheatsheets for AI and Machine Learning
Ranking_Papers
Papers on recommendation system / search ranking.
Graph_neural_networks
Zero-to-hero for Graph Neural Networks
applied-ml-system-design
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Airflow-tuts
learning assignments for airflow
tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
TPU_training
template to train models on TPUs
knowledge-distillation
how its done
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
Semantic-Search
semantic Search application using vector databases and Sbert
DataScience_Interview_Questions
My Solutions to 120 commonly asked data science interview questions.
nlp-architect
A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language Processing neural networks
Natural-Language-Processing
Repo for everything natural language processing
Machine-Learning-tricks
Some tricks that are worth giving a try.
Smart-watch
Predict the activity of a human based on sensory data from its smart watch
Captcha-predictions
Automate the reading of captcha images . Given the image of a captcha , predict the characters in the captcha.