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Test your prompts, agents, and RAGs. Red teaming, pentesting, and vulnerability scanning for LLMs. Compare performance of GPT, Claude, Gemini, Llama, and more. Simple declarative configs with comma…
A financial product for US based SAAS companies. Analyze 10K, 10Q and 8K filing of SAAS companies and generate financial reports and investability score of companies.
Wireflow - user flow chart real-time collaborative tool
Our MERN Stack Crypto Trading Website is a comprehensive platform designed to provide users with a seamless and secure experience in the world of cryptocurrency trading. Built using the MERN stack …
Papers for Video Anomaly Detection, released codes collection, Performance Comparision.
A react component to display digits in an animated way.
Helping farmers to make informed decisions regarding their crops
This is an official implementation for "Attention-based Residual Autoencoder for Video Anomaly Detection".
We implemented a heap based priority queue as a part of Parallel computing course project
somyamehta24 / iiti-lms
Forked from gg-dev-05/iiti-lmsA Library Management System
somyamehta24 / clubs-iiti
Forked from gg-dev-05/clubs-iitiClub Administration System for IITI community
Group Project
My implementation of various GAN (generative adversarial networks) architectures like vanilla GAN (Goodfellow et al.), cGAN (Mirza et al.), DCGAN (Radford et al.), etc.
Official implementation of Paper Future Frame Prediction for Anomaly Detection -- A New Baseline, CVPR 2018
An experimental technique for efficiently exploring neural architectures.
The author's officially unofficial PyTorch BigGAN implementation.
MemAE for anomaly detection. -- Gong, Dong, et al. "Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection". ICCV 2019.
A high-performance communication-avoiding implemetation of the parallel 2D Floyd-Warshall algorithm for the all source shortest path problem
brilliantFire / deep-learning-with-python-notebooks
Forked from fchollet/deep-learning-with-python-notebooksJupyter notebooks for the code samples of the book "Deep Learning with Python"
Code for reproducing key results in the paper "InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets"
A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
This repo consist of all code that scraps the data and structure it into db
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
Pyodide is a Python distribution for the browser and Node.js based on WebAssembly
This is IEEE standard SRS document