sunjoshi1991's repositories
AdvancedSQL_Interview
Analysis of SQL Leetcode and classic interview questions. Common pitfalls, anti-patterns and handy tricks are discussed. Sample databases are provided.
AI-as-an-API
Learn to create & deploy a deep learning algorithm into a production REST API microservice using Python, Keras, FastAPI, & NoSQL.
around-dataengineering
A Data Engineering & Machine Learning Knowledge Hub
azimuth
Helping AI practitioners better understand their datasets and models in text classification. From ServiceNow.
best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
CIPS-3D
3D-aware GANs based on NeRF (arXiv).
CogVideo
Text-to-video generation.
Complex-SQL-Practice-for-Interview
I have tried to solve some complex SQL interview questions that had been asked in several company. Collected this question from Ankit Bansal. He made a organized playlist along with the solution. I have tried to figure out them first and then checked whether my query is correct or no. Thanks in advance.
DALLE2-pytorch
Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
data-engineer-handbook
This is a repo with links to everything you'd ever want to learn about data engineering
data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
elkpython
elasticsearch with python
free-for-dev
A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
fugue
A unified interface for distributed computing. Fugue executes SQL, Python, and Pandas code on Spark and Dask without any rewrites.
genai-stack
Langchain + Docker + Neo4j + Ollama
Getting-Started-with-Generative-AI
A curated list of articles and tutorials to start with and understand generative AI
haystack
:mag: Haystack is an open source NLP framework that leverages pre-trained Transformer models. It enables developers to quickly implement production-ready semantic search, question answering, summarization and document ranking for a wide range of NLP applications.
industry-machine-learning
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
machine-learning-interview
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
mindsdb
Predictive AI layer for existing databases.
NLP-progress
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
NSP-BERT
The code for our paper "NSP-BERT: A Prompt-based Zero-Shot Learner Through an Original Pre-training Task —— Next Sentence Prediction"
python-notebooks-for-apache-kafka
A Series of Notebooks on how to start with Kafka and Python
react-pdf-ner-annotator
Annotate entities directly onto a PDF with automatic OCR for scanned PDFs
Research_Papers
Research papers with practical implementation
s3-lambda-dynamodb-img-processor
S3 client to upload images to AWS S3 and AWS Lambda handler function to extract meta data from the image uploaded into S3 and store meta data information into DynamoDB.
Spark-with-Python
Fundamentals of Spark with Python (using PySpark), code examples