Ajith-Shenoy

Ajith-Shenoy's Stars

• dair-ai/ML-YouTube-Courses

  📺 Discover the latest machine learning / AI courses on YouTube.

  16.2k375201.9k

• MagicStack/asyncpg

  A fast PostgreSQL Database Client Library for Python/asyncio.

  Language:Python7.1k116792403

• graviraja/MLOps-Basics

  Language:Jupyter Notebook6.2k93211k

• dair-ai/ML-Course-Notes

  🎓 Sharing machine learning course / lecture notes.

  6.1k15914805

• facebookresearch/Kats

  Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.

  Language:Python5.6k80189566

• datawithdanny/sql-masterclass

  2.2k5713454

• uber/orbit

  A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.

  Language:Python1.9k35404135

• kk7nc/Text_Classification

  Text Classification Algorithms: A Survey

  Language:Python1.8k747543

• abhishekkrthakur/tez

  Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle over 90% of deep learning projects in PyTorch.

  Language:Python1.2k1741144

• abhimishra91/transformers-tutorials

  Github repo with tutorials to fine tune transformers for diff NLP tasks

  Language:Jupyter Notebook8311124191

• zgana/fpp3-python-readalong

  Python-centered read-along of Forecasting: Principles and Practice

  Language:Jupyter Notebook48663155

• FilippoBovo/production-data-science

  Production Data Science: a workflow for collaborative data science aimed at production

  Language:Jupyter Notebook4533824129

• AlexanderConnelly/BrainTree_SQL_Coding_Challenge_Data_Analyst

  A Challenge To Test My SQL Skills For A Braintree Data Analyst Interview Process

  Language:PLpgSQL3408097

• WooilJeong/CaptchaCracker

  Open source Python Deep Learning low-code library for generating captcha image recognition models

  Language:Python2357737

• ramsrigouthamg/Paraphrase-any-question-with-T5-Text-To-Text-Transfer-Transformer-

  Paraphrase any question with T5 (Text-To-Text Transfer Transformer) - Pretrained model and training script provided

  Language:Python18871353

• shayneobrien/coreference-resolution

  Efficient and clean PyTorch reimplementation of "End-to-end Neural Coreference Resolution" (Lee et al., EMNLP 2017).

  Language:Perl18672061

• trojrobert/MLOps_roadmap_and_curriculum

  Curriculum and roadmap from 0 to Mastery for MLOps. Adding value to your machine learning model by deploying it for people to use it to solve real life problems

  Language:HTML18414136

• gautham20/pytorch-ts

  Tutorials on using encoder decoder architecture for time series forecasting

  Language:Jupyter Notebook1134438

• mscharth/forecasting

  Forecasting lectures and tutorials using Python

  Language:Jupyter Notebook1015174

• 0x5eba/Skin-Cancer-Segmentation

  Classification and Segmentation with Mask-RCNN of Skin Cancer using ISIC dataset

  Language:Python825824

• khuyentran1401/customer_segmentation

  An end-to-end project on customer segmentation

  Language:Python812028

• ahmedbesbes/anonymization-api

  How to build and deploy an anonymization API with FastAPI and SpaCy

  Language:Python693028

• gslicht/Extractive-Summarization-of-a-News-Corpus-Using-BERT

  Language:Jupyter Notebook23139

• cholu6768/Marketing-Analytics-Case-Study

  SQL Marketing Analytics Project

  16101

• shayneobrien/language-modeling

  Language modeling on the Penn Treebank (PTB) corpus using a trigram model with linear interpolation, a neural probabilistic language model, and a regularized LSTM.

  Language:Jupyter Notebook16213

• dimaTrinh/dank_data

  Supplementary data for the paper *Dank or Not? -- Analyzing and Predicting the Popularity of Memes on Reddit*

  Language:Jupyter Notebook7114

• JunjieCheng/PUBG-hack-detection

  Language:Jupyter Notebook6205

• kmjawadurrahman/fastapi-tdd-docker

  Text summarization service with Python, FastAPI, and Docker.

  Language:Python1100

• m-kno/mimic3

  Language:Jupyter Notebook11440

• marinaibrishimova/incident_classification

  Incident classification using machine learning and sentiment analysis

  Language:Python1