taylvr's Stars
ZJU-LLMs/Foundations-of-LLMs
feedarchive/libera-feedbot-live
Live posts of FeedBot on Libera.Chat
TsinghuaDatabaseGroup/DB-GPT
An LLM Based Diagnosis System (https://arxiv.org/pdf/2312.01454.pdf)
hubbs5/or-gym
Environments for OR and RL Research
AccumulateMore/NLP
✔最全面的 深度学习NLP 笔记
NX-AI/xlstm
Official repository of the xLSTM.
valeman/Transformers_And_LLM_Are_What_You_Dont_Need
The best repository showing why transformers might not be the answer for time series forecasting and showcasing the best SOTA non transformer models.
trotsky1997/MathBlackBox
sktime/sktime
A unified framework for machine learning with time series
lucidrains/bidirectional-cross-attention
A simple cross attention that updates both the source and target in one step
LumingSun/ML4DB-paper-list
Papers for database systems powered by artificial intelligence (machine learning for database)
virtuabhi/azure-sparkcruise-samples
Docs for Azure HDInsight
databricks/spark-sql-perf
JoseRFJuniorLLMs/PySpark-ETL
PySpark-ETL
Rohini05/Dynamic-Expression-based-Result-from-dictionaries
Build an algorithm to parse and process the dynamic expression based on the dictionary provided. The expression basically consists of Operators, Variables, and Parentheses. Parentheses have higher precedence (i.e the subexpression in the parentheses should be executed first)
thoughtpolice/cse-ghc-plugin
common subexpression elimination plugin for GHC
rdeits/CommonSubexpressions.jl
Naïve combined subexpression elimination in Julia
Soos99/ETL-pipelines
Two ETL pipelines using Python and PostgreSQL/Apache Cassandra with nearly 16,000 records in total. Both databases are developed to optimize queries on music analysis. The Postgres database is designed with star schema.
irfanumar1994/postgreSQL-ETL
YouTube has been collecting data on their video streaming and the activities of user. They have recently shown their interest in the proper analysis of this data. The most important thing what they want to know is “what videos are users most interested in?” For the time being they have been following a very difficult way to query their data. 1- They have directories of JSON log files for the user activities. 2- They have a directory that contains Metadata of these videos in form of JSON files. We want you build a PostgreSQL database for performing a good Play Analysis of these videos. You will be doing the following things, 1- Optimization of tables by following a star schema (using fact and dimension tables) so that we can run queries. 2- Creating a database schema of these optimized tables and writing an ETL (Extract Transform and Load) layer to load data from JSON log files to this database.
sarahfujimori/tpcds-optimized
Optimized TPC-DS SQL queries using SQLGlot
guozhongxin/sparkTPCDS
JonathanMace/tpcds
TPC-DS benchmarks including data generation with Spark and queries with Spark
maropu/spark-tpcds-datagen
All the things about TPC-DS in Apache Spark
gregrahn/tpcds-kit
TPC-DS benchmark kit with some modifications/fixes
abhayhk2001/sql-parsing
Parsing TPCDS 99 queries to identify important features
tobymao/sqlglot
Python SQL Parser and Transpiler
lycantropos/seek-well
SQL files dependencies parser
Edsoncortes40/SQLAndTriggers
Used a combination of python, PostgreSQL, and Peewee to implement a trigger to handle dependencies in database
JimFawkes/britz
Easily review dependencies between SQL Transformations
yesyigitcan/PyQt-SQL-Generator-Dependency
Application to Create and Execute SQL Commands to Manage The Dependency Between The Jobs in ETL Workflows