GitHub topics: research-implementation
BharathxD/fact-checker
This AI fact-checking system, built with LangGraph, dissects text into verifiable claims, cross-referencing them with real-world evidence via web searches. It then generates detailed accuracy reports, ideal for combating misinformation in LLM outputs, news, or any text.
Language: TypeScript - Size: 685 KB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 14 - Forks: 3
kanavgoyal898/noisOut
noisOut is a DDPM-based implementation for generating high-quality images, inspired by Dhariwal & Nichol (2021) and Ho et al. (2020). Using a UNet architecture with Sinusoidal Position Embeddings, the model learns to reverse a diffusion process, progressively removing noise from images.
Language: Jupyter Notebook - Size: 50.2 MB - Last synced at: 25 days ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0
kanavgoyal898/QueensGambit
QueensGambit is a Python-based chess engine using the Minimax algorithm with alpha-beta pruning to make optimal moves. It incorporates piece values inspired by AlphaZero and an entropy-based evaluation for dynamic gameplay. The engine supports both human-AI and AI-AI matches.
Language: Python - Size: 1.25 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
kanavgoyal898/echoGPT
echoGPT is a minimal GPT implementation for character-level language modeling with 25.4M parameters. Built with PyTorch, it includes multi-head self-attention, feed-forward layers, and position embeddings. Trained on text like tiny_shakespeare.txt to predict the next character.
Language: Python - Size: 7.36 MB - Last synced at: 18 days ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
kanavgoyal898/evoGrad
evoGrad is a lightweight automatic differentiation engine designed to help users understand autograd concepts and neural network operations. It offers a minimal framework for gradient computation and backpropagation, making it an ideal tool for beginners to explore deep learning fundamentals.
Language: Python - Size: 1.41 MB - Last synced at: 3 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0
kanavgoyal898/markoText
markoText is a Python-powered story generator using a Bag of Words Markov Chain model to craft narratives. By training on input text, it learns word transition probabilities to generate unique content mimicking the style and structure of the original.
Language: Jupyter Notebook - Size: 4.34 MB - Last synced at: 3 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0
AtulSingh72/Age_Gender_Prediction
This is a Research Paper implementation of Levi-Hessaner Age-Gender Classification model which has re-implemented and trained on Indian faces.
Language: Jupyter Notebook - Size: 45.9 MB - Last synced at: about 1 year ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 1
padmapriya123456/Research-Implementation
What better way to reap the fruits of your research during your doctorate than to view its successful simulation? Our specialised team at Ondezx makes sure your dreams of revolutionising your field do not go unfulfilled.For more info: Link: https://ondezx.com/research-implementation Mail: [email protected] Mob No: +91 9791191199
Size: 360 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
yashpandey474/Hilbert-R-Tree-Implementation
Data structures & algorithms project for implementing the Hilbert R Tree data structure as present in the original research paper, focusing on the adding of elements and searching of elements along with a pre-order traversal of the tree.
Language: C - Size: 5.71 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0
ayushjaipuriyar/image-encryption
Workings on research paper related to image encryption using chaos maps and DNA encoding.
Language: TeX - Size: 157 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 1
