Risingabhi
TDI is a HEAVY-DUTY AI and ML Co. We work on real life data and make programs in Computer Vision, Image Processing., synthetic data generation, Style GAN,
TDIHARIDWAR
Pinned Repositories
ADAS
Automated Design of Agentic Systems
alpaca.cpp
Locally run an Instruction-Tuned Chat-Style LLM
Autogen-Virtual-investment-firm
Auotgen based Virtual investment firm
cog_stanford_alpaca
For training Alpaca
CogAlg
This project is a Computer Vision implementation of general hierarchical pattern discovery principles introduced in README
esp-va-sdk
Espressif's Voice Assistant SDK: Alexa, Google Voice Assistant, Google DialogFlow
iPERCore
Liquid Warping GAN with Attention: A Unified Framework for Human Image Synthesis
lidar-truck-volume
truck stockpile volume cal from Intel Realsense Lidar -L515 Series
multiple-intelligence-
trying to make all academic records of students at one place ( marks in maths ,science English ) from class 1 till 12. also capture their Iq aq,cq,eq along with family details , health issues etc
Speed-Detection-OPENCV
Program calculates the speed of vehicle with any angle and also works for night time. Program auto calculates the detection range for different speed of vehicle. COSINE CORRECTION has been implimented in code, accuracy tested on GROUND TRUTH VIDEO For daytime is 98% in Km/Hr
Risingabhi's Repositories
Risingabhi/iPERCore
Liquid Warping GAN with Attention: A Unified Framework for Human Image Synthesis
Risingabhi/multiple-intelligence-
trying to make all academic records of students at one place ( marks in maths ,science English ) from class 1 till 12. also capture their Iq aq,cq,eq along with family details , health issues etc
Risingabhi/CogAlg
This project is a Computer Vision implementation of general hierarchical pattern discovery principles introduced in README
Risingabhi/models
Models and examples built with TensorFlow
Risingabhi/pandaset-devkit
Risingabhi/React-Ecommerce-App-with-Redux
Risingabhi/SwapNet
Virtual Clothing Try-on with Deep Learning. PyTorch reproduction of SwapNet by Raj et al. 2018. Now with Docker support!
Risingabhi/tableGAN
tableGAN is a synthetic data generation technique (Data Synthesis based on Generative Adversarial Networks paper) based on Generative Adversarial Network architecture (DCGAN).
Risingabhi/train-tesseract
Dockerized example to train Tesseract v. 4