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akashmavle5's Projects

cdaviz icon cdaviz

Generic CSV (and data) D3.js-based Dashboard Visualizer

chatgpt-clone icon chatgpt-clone

this app is a ChatGPT Clone with DALL.E using OpenAIs gpt-3.5-turbo and image generation Model

chatgpt-clone-3 icon chatgpt-clone-3

ChatGPT Clone with REACT! (Next.js 13, Firebase, Tailwind CSS, TypeScript, API endpoints in Next.js, ChatGPT models, Dynamic page routing in Next.js 13, App folder structure, NextAuth.js, Google Authentication)

chatgpt-clone-4 icon chatgpt-clone-4

Clone of ChatGPT, uses official model & Bing, reverse-engineered UI, with AI model switching, message search, and prompt templates (WIP)

chatgpt_clone icon chatgpt_clone

A simple ChatGPT clone in Django using the new gpt-3.5-turbo model

cirq icon cirq

A python framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits.

codegen icon codegen

Reference implementation of code generation projects from Facebook AI Research. General toolkit to apply machine learning to code, from dataset creation to model training and evaluation. Comes with pretrained models.

complex icon complex

Source code for experiments in the papers "Complex Embeddings for Simple Link Prediction" (ICML 2016) and "Knowledge Graph Completion via Complex Tensor Factorization" (JMLR 2017).

credit-card-clustering-pca-kmeans icon credit-card-clustering-pca-kmeans

Classify credit card users based on spending patterns and other metrics. Carry out PCA to reduce dimensionality and then cluster using the Kmeans algorithm.

credit-card-fraud-detection-2 icon credit-card-fraud-detection-2

Online transaction fraud detection is the biggest challenging issue for banking systems and financial institutes.This project deals with the problem of credit card fraud over online or offline transaction.

credit-card-prediction icon credit-card-prediction

This is to create models to detect fraud in credit card transactions using Deep Neural Network, Decision Tree, and Random Forest. Sampling techniques are implemented to tackle the class imbalance problem.

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