- Mumbai, India
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21:16
(UTC +05:30) - in/ryan-santosh-bb68b6263
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Code for a security camera that takes recordings based on when movement and a face + body is detected. Made using OpenCV.
This project aimed to address the requirements of the company's Language Model (LLM) training by leveraging Stanford's Dataset System and OpenAI's powerful language model. The objective was to crea…
In this project, I developed and trained a model that uses the Deep Lab V3 Plus architecture for image segmentation — trained particularly on human figures (faced, bodies, et cetera). The model as …
In this project, I have provided code and a Colaboratory notebook that facilitates the fine-tuning process of an Alpaca 350M parameter model originally developed at Stanford University. The model w…
A simple voice translator which takes vocal input from the user, translates it and then outputs that back in terminal and as audio. Currently supports German, Spanish, French, Malayalam, Portuguese…
In this project, I have provided code and a Colaboratory notebook that facilitates the fine-tuning process of an Alpaca 3B parameter model originally developed at Stanford University. The model was…
Linking OpenAI's Text-Davinci-03 Model to a system wherein user's voice input is converted to text and used as a prompt for OpenAI's model. The response is then spoken back to the user as a voice a…
Use of deep learning techniques to detect faces and recognise their emotions in real time.
Flappy Bird Remade with complex pipe generation, pause state and medals.