pravin's Projects
Tools to support converting a Python project into a standalone native application.
A system-level, binary package and environment manager running on all major operating systems and platforms.
This repository contains Python code for implementing convolutional neural networks (CNNs) from scratch, including the creation of a convolution layer, implementation of popular convolutional networks such as LeNet-5, and additional functionalities related to convolution operations.
TensorFlow examples
This repository provide the fundamental of Tensorflow starting from creating tensor's to creating your own tensorflow models.😍
Google Cloud Study Jam Solution of Path Google Cloud Computing Foundations
This is a Nano GPT Model trained on Mental health Dataset. I hope it helps 😅
A simple fan made web-page of LIONEL MESSI
Learning and Playing with MLflow
This repo is made for my academics Experiment in mobile computing , Mentor/Teacher is Sushant sukhadeo Gawade sir from Universal College of engineering
All types of natural language processing models
It is a Simple flask framework based Personality Prediction app using Kmean Model
Pravin Website
Personal Public profile readme for git hub Overview
This is a complete web app for Resume and Personality prediction all in one app😁😁. Resume Analysis uses Pyresparer and other libs, Personality depends on ocean(5types) using Kmeans model.🙏
This is a Spam detection Model build using the Sequential (Keras Api) Model . This Model is available to test on HuggingFace Spaces .
*Time Series Forcasting Project* :- We tested Fb prophet model , VAR (Vector Autoregression) Model , Transformer Models(Only Encoder) and LSTM's.
This TensorFlow Models Repository is a collection of various TensorFlow models designed to tackle a wide range of machine learning tasks.This repository serves as a comprehensive resource for researchers, developers, and enthusiasts to explore and leverage state-of-the-art models built with TensorFlow.
A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, llama.cpp (GGUF), Llama models.