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TDI's Projects

alpaca.cpp icon alpaca.cpp

Locally run an Instruction-Tuned Chat-Style LLM

cogalg icon cogalg

This project is a Computer Vision implementation of general hierarchical pattern discovery principles introduced in README

esp-va-sdk icon esp-va-sdk

Espressif's Voice Assistant SDK: Alexa, Google Voice Assistant, Google DialogFlow

get-get-right icon get-get-right

Saves lot of time by explaining logically whether your chosen Github repo is best fit for your problem, analyses code automatically, gives you step by step instruction to run the code,also attempts to explain code in simple terms and mathematical reasoning behind this,

gfpgan-quantized icon gfpgan-quantized

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

ipercore icon ipercore

Liquid Warping GAN with Attention: A Unified Framework for Human Image Synthesis

models icon models

Models and examples built with TensorFlow

multiple-intelligence- icon 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

nbviewer icon nbviewer

nbconvert as a web service: Render Jupyter Notebooks as static web pages

open3d icon open3d

Open3D: A Modern Library for 3D Data Processing

probreg icon probreg

Python package for point cloud registration using probabilistic model (Coherent Point Drift, GMMReg, SVR, GMMTree, FilterReg, Bayesian CPD)

pyntcloud icon pyntcloud

pyntcloud is a Python library for working with 3D point clouds.

rafael-rag icon rafael-rag

Retrieval Augmented Generation using openai, streamlit, langchain and Pinecone

seeact icon seeact

[ICML'24] SeeAct is a system for generalist web agents that autonomously carry out tasks on any given website, with a focus on large multimodal models (LMMs) such as GPT-4V(ision).

speed-detection-opencv icon 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

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