Dharaniraj1997

DharanidharGuntupalliW11_GradedAssignment

GPT-using-LLAMA-2-model

Q-and-A-over-Receipt-Images-using-LLM

Evaluating-an-LLM

Creating an LLM and monitoring it so as to consider better ways to develop its performance are two different things. This way we can monitor our LLM.

Agents-in-LLM

Credits to DeepLearning.ai

LangChain-for-LLM-Development

Credits to DeepLearning.ai

100-Days-of-Python

Dharaniraj1997

Python-for-Data-Engineering

Darknet-using-YOLOV4-weights-deployed-using-FAST-API

KAGGLE-Reducing-Commercial-Aviation-Fatalities

Table-Net-Deep-Learning-model

OMR-scanner-and-grader

Face-Detector

SQL

9-Apparel-Recommendation-System

8-Facebook-Friend-Recommendation

3-Microsoft-Malware-Detection

LSTM-on-DonorsChoose

Music-Generation-using-Char-RNN

10-Self-Driving-Car

7-Human-Activity-Recognition

aws-machine-learning-university-accelerated-cv

Cloud-Based-Telegram-Chatbot

6-Quora-Question-Pair-Similarity

LSTM

CNN

TF-and-Keras-on-MNIST

Truncated-SVD

K-means-Agglomerative-and-DBSCAN-clustering