dv-fenix Goto Github PK
Name: Divyam Goel
Type: User
Company: @rephraseai @3dlg-hcvc @ieee-iitr
Bio: MS in Robotics Student at CMU
Twitter: divyamgo10
Location: Bangalore
Blog: dv-fenix.github.io
Name: Divyam Goel
Type: User
Company: @rephraseai @3dlg-hcvc @ieee-iitr
Bio: MS in Robotics Student at CMU
Twitter: divyamgo10
Location: Bangalore
Blog: dv-fenix.github.io
A tool to automatically generate dynamic graphics as webm files using themes provided as natural language queries. Built using p5.js, powered by ChatGPT.
SimpleRisc code for finding Ramanujan Number
A tool to automatically generate and debug ffmpeg commands using natural language queries. Powered by ChatGPT.
Tokenizing and removing common stopwords from the BBC Text Archives
PyTorch - FID calculation with proper image resizing and quantization steps [CVPR 2022]
Understanding how CNNs can be implemented on a TPU
This repository contains the pytorch code for the paper: A Deep Semi-NMF Model for Learning Hidden Representations (Trigeorgis2014)
Differentiable Vector Graphics Rasterization
PyTorch implementations of some papers on Domain Adaptation
Generative Models by Stability AI
Just beginning with git
HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis
Code for the experiments on the Samson Dataset as presented in the paper: Hyperspectral Unmixing Using a Neural Network Autoencoder (Palsson et al. 2018)
Website for IEEE Student Chapter IITR
Machine Translation
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
A simple 2D toy example to play around with NeRFs, implemented in pytorch-lightning. Repository can be used as a template to speed up further research on nerfs.
Official implementation and data for our ICPC '22 paper "On The Cross-Modal Transfer from Natural Language to Code through Adapter Modules"
A web app made using Flask and Streamlit to visualise the workings of a Neural Network
Graph Convolutional Networks in PyTorch
Official pytorch implementation of Rainbow Memory (CVPR 2021)
Implementing some RL algorithms (using PyTorch) on the CartPole environment by OpenAI.
A scaled down version of the self-driving system using OpenCV. The system comprises of - • Raspberry Pi with a webcam and an ultrasonic sensor as inputs, ◦ Steering using move in sdcar.py ◦ Stop sign detection using houghcircles and colour intensities ◦ Front collision avoidance using an ultrasonic sensor • l298N motor controller • project structure: *sdcar.py is a combination of all the following *lane_lines.py: step1.take the webcam feed and apply the canny edge algorithm to detect the edges step2. detect the lines in an edged image using houghlines step3. average the lines according to the slope step4.making points using slope step5. return right, left, camera and central line *sensor.py: distance measurement using input and output pins *sign.py: *detection of circles in image using hough circles *if the dominant colour in a square region around the circle is red then it is stop sign. *if the dominant colour in a square region around the circle is blue then there are 5 cases left, right, forward, forward and right or forward and left for this: • make the 3 zones of square regions the right , left, upper(for forward) • if the right zone is white and the other two are blue then the sum of RGB colour intensities in the right zone will be obviously greater than the other two zones then the sign is right similarly for others. Note : sign.py will work on following type of sign:
Official implementation of our NCC'24 paper titled "Semi‑NMF Regularization‑Based Autoencoder Training for Hyperspectral Unmixing".
Fine-tuning a BERT model for Sentiment Classification on the SMILE: Twitter Emotion Dataset
Implementation of "Von Mises-Fisher Loss for Training Sequence to Sequence Models with Continuous Outputs"
I wanted a project which would accommodate whatever I've learned in C++. This came close.
Official implementation for the paper "Leveraging Dependency Grammar for Fine-Grained Offensive Language Detection using Graph Convolutional Networks" published at SocialNLP @ NAACL-HLT 2022.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
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Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.