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cs3300_m22

CS3300 Compiler Design @ CSE IIT Madras

demo

this is demo

fantasy-sports-prediction

We have used our skill of machine learning along with our passion for cricket to predict the performance of players in the upcoming matches using ML Algorithms like random-forest and XG Boost

football-computer-vision

github-slideshow

A robot powered training repository :robot:

image-classification-neural-networks-build-from-scratch

language-transliteration-model

learn-github

My clone repository

learning-github

llm-fine-tuning-for-text-generation-tasks

Using various methods like fine-tuning and context language modelling, we try to improve performance of LLMs on Question-Ansering Tasks.

maze-solving-ai

nanogpt

The simplest, fastest repository for training/finetuning medium-sized GPTs.

padhai-datasciencefoundation

Course Materials for PadhAI Foundations of Data Science

pankajrawat9075

My personal repository

prml-projects

reinforcement-learning-coursework

sentiment-analysis-using-bert

simple_vehicle_counting

Vehicle Detection, Tracking and Counting

skills-communicate-using-markdown

My clone repository

skills-github-pages

My clone repository

skills-introduction-to-github

My clone repository , just learning new things

spam-classifier

stock-analysis-using-machine-learning

Using various ML tools, We analyzed the Stock Data of various companies and used the analysis along with ML algorithms like LInear Regression and KNN Regressor to predict future Prices.

tictactoe-ai

AI Agent Which can Play Tic tac Toe. Agent uses Alpha-Beta Pruning and Depth Limitation

vehicle-counting-and-tracking-using-yolov8-and-bytetrack

yolo-vehicle-counter

This project aims to count every vehicle (motorcycle, bus, car, cycle, truck, train) detected in the input video using YOLOv3 object-detection algorithm.

yolov5-vehicle-counting

A computer vision and artificial intelligence project to detect and counting vehicles. This project is using YOLOV5 and Deep Sort Algorithm to perform object recognition and tracking realtime.