nithin varghese's repositories
hand-written-numbers-recognition-application
application using neural network and MNIST dataset
line_segment_angle_detector
the code detects angle for a line segment w.r.t x axis.
face-landmark-detection-and-alignment
this implements face landmark detection and alignment code
invisible_cloak
weekend fun project for the harry potter invisible cloak
yolov3-tf2
YoloV3 Implemented in Tensorflow 2.0
autogen
A programming framework for agentic AI. Join our Discord: https://aka.ms/autogen-dc
ChatDev
Create Customized Software using Natural Language Idea (through LLM-powered Multi-Agent Collaboration)
Competitions
This repository will contain code of all the competitions I would take part in.
deep-learning-code-samples
this gives code samples of various deep learning techniques
DeepFaceLab
DeepFaceLab is the leading software for creating deepfakes.
docusaurus
Easy to maintain open source documentation websites.
dot
The Deepfake Offensive Toolkit
EVA
Exploring the Limits of Masked Visual Representation Learning at Scale (https://arxiv.org/abs/2211.07636)
fastbook
Draft of the fastai book
icevision
End-to-End Object Detection Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come
inside_my_brain
blogging
insightface
State-of-the-art 2D and 3D Face Analysis Project
IP-Adapter
The image prompt adapter is designed to enable a pretrained text-to-image diffusion model to generate images with image prompt.
kornia
Open Source Differentiable Computer Vision Library for PyTorch
pytorch-lightning
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
sample_fastapi_code
this repo is to build a simple fastapi, streamlit and docker code
style_transfer
tyle transfer repo implemented in pytorch
StyleFlow
StyleFlow: Attribute-conditioned Exploration of StyleGAN-generated Images using Conditional Continuous Normalizing Flows
tqdm
A Fast, Extensible Progress Bar for Python and CLI
yolov9
Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information