abhisheksanthanam Goto Github PK

dsa

improved-algorithm-for-min-height-ellimination-tree-of-interval-graph

improvement-of-the-mrst-algo

Improvement of the Rectilinear Steiner Tree Construction by Zhilu Zhang

ipl_auction_best_combination_predictor_dbms

Database Management of players in IPL auction. Each cricketer will be classified based on their roles as batsmen, bowler or all-rounder. If batsman, we have the following attribute: Name No of matches. No of innings Total Runs Strike rate Average Highest Score 50s 100s Base Price If Bowler, we have following attribute: Name No of matches. Total Wickets Strike rate Average Economy Best bowling figures 4wi 5wi Base Price If all-rounder we have attribute of both batsmen and bowler. If wicket keeper, he has attributes of batsmen with additional attributes of number of catches and stumpings. What team’s analysts are allowed to access. 1)The teams are allowed to access player details by name and role (i.e. batman/bowler/all-rounder/Wk). 2)They will also be provided with names of players with sorted order of each attribute. 3)They are allowed to compare two players based on a given attribute. 4)They are allowed to access players less than a given base price. Given a total budget for batsmen,bowler,wicketkeeper and allrounders respectively find the best combination of 4 batsmen,1 wicketkeeper,4 bowlers,2 all-rounders.

item-based-collaborative-filtering

java-weka-naivebayes-model

This is a java program which uses the weka library for building a ML prediction model based on the Naive Bayes technique

machinelearning_coursera

Machine Learning- Andrew NG

micro-architectural-usage-aware-scheduling

minimal-character-level-language-model-with-a-vanilla-recurrent-neural-network-in-python-numpy

ml-flashcards-python

Python script to pull machine learning flashcards from Chris Albon's twitter feed

nand2tetris

pplm

Plug and Play Language Model implementation. Allows to steer topic and attributes of GPT-2 models.

transformers

🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.

weekly-sessions