dnyanshwalwadkar

Advance-Deep-Learning

Advanced Deep Learning repository! This repository is dedicated to exploring cutting-edge research, advanced techniques, and innovative applications in the field of deep learning. Our mission is to provide a comprehensive and accessible resource for students, researchers, and enthusiasts who are passionate about pushing the boundaries.

AI-for-Marketing

Marketing is crucial for the growth and sustainability of retail business. Marketers can help build the company’s brand, engage customers, grow revenue, and increase sales. AI can star change maker for Product Marketing & Business Boost

annotated_research_papers

This repo contains annotated research papers that I found really good and useful

explanable-AI

Auto-Encoding Explanations Library (AEE-Lib)

Knowledge_distillation_via_TF2.0

The codes for recent knowledge distillation algorithms and benchmark results via TF2.0 low-level API

Large-Language-Model-Notebooks-Course

Practical course about Large Language Models.

LLM-Finetunning

Welcome to the PEFT (Pretraining-Evaluation Fine-Tuning) project repository! This project focuses on efficiently fine-tuning large language models using LoRA and Hugging Face's transformers library.

llmtools

Finetuning Large Language Models on One Consumer GPU in Under 4 Bits

RAG_Techniques

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and contextually rich responses.

Test-case-Prioterization-using-Genetic-Algorithm

Prioritize test case scenarios by identifying the critical path cluster using Genetic algorithm

dnyanshwalwadkar/annotated_research_papers

This repo contains annotated research papers that I found really good and useful

dnyanshwalwadkar/PYTHON-SWC_Session

Welcome to the repository where learning Python transcends the boundaries of traditional education. Here, you'll find a comprehensive collection of notes, examples, and real-world analogies that I've meticulously crafted and used in my Python programming sessions. These resources have illuminated the path of programming for over 3000 students ofSWC

dnyanshwalwadkar/DepthMapExplorer-3DPointCloudLab

Explore the World in 3D: 3DPointCloudLab is your gateway to the fascinating universe of 3D depth maps and point clouds. Whether you're a researcher, developer, or 3D enthusiast, our repository offers a treasure trove of tools, techniques, and insights dedicated to the exploration and manipulation of 3D spatial data.

dnyanshwalwadkar/Advanced-RAG-Implementations

Dive into the world of advanced language understanding with Advanced_RAG. These Python notebooks offer a guided tour of Retrieval-Augmented Generation (RAG) using the Langchain framework, perfect for enhancing Large Language Models (LLMs) with rich, contextual knowledge.

dnyanshwalwadkar/Transformers-LLM-Guide

dnyanshwalwadkar/Large-Language-Model-Notebooks-Course

Practical course about Large Language Models.

dnyanshwalwadkar/LLM-Finetunning

Welcome to the PEFT (Pretraining-Evaluation Fine-Tuning) project repository! This project focuses on efficiently fine-tuning large language models using LoRA and Hugging Face's transformers library.

dnyanshwalwadkar/llmtools

Finetuning Large Language Models on One Consumer GPU in Under 4 Bits

dnyanshwalwadkar/RAG_Techniques

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and contextually rich responses.

dnyanshwalwadkar/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

dnyanshwalwadkar/American-Sign-Language-Fingerspelling-Recognition

The goal of this repository is to detect and translate American Sign Language (ASL) fingerspelling into text. Model trained on the largest dataset of its kind.

dnyanshwalwadkar/Awesome-LLMOps

An awesome & curated list of best LLMOps tools for developers

dnyanshwalwadkar/CVPR2024

CVPR 2024 Research Paper with Code

dnyanshwalwadkar/DataStructure-for-Data-Science

Datastructure for data science

dnyanshwalwadkar/devika

Devika is an Agentic AI Software Engineer that can understand high-level human instructions, break them down into steps, research relevant information, and write code to achieve the given objective. Devika aims to be a competitive open-source alternative to Devin by Cognition AI.

dnyanshwalwadkar/keras

Deep Learning for humans

dnyanshwalwadkar/keras_cv_attention_models

Keras beit,caformer,CMT,CoAtNet,convnext,davit,dino,efficientdet,edgenext,efficientformer,efficientnet,eva,fasternet,fastervit,fastvit,flexivit,gcvit,ghostnet,gpvit,hornet,hiera,iformer,inceptionnext,lcnet,levit,maxvit,mobilevit,moganet,nat,nfnets,pvt,swin,tinynet,tinyvit,uniformer,volo,vanillanet,yolor,yolov7,yolov8,yolox,gpt2,llama2, alias kecam

dnyanshwalwadkar/LLMSurvey

The official GitHub page for the survey paper "A Survey of Large Language Models".

dnyanshwalwadkar/Machine-Learning-Interviews

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

dnyanshwalwadkar/Mathematical-Reasoning-in-Open-Language-Models

This repository is dedicated to exploring the fascinating intersection of open language models and mathematical reasoning. This repository serves as a hub for sharing findings, tools, and methodologies that leverage the power of LLMs to decipher, interpret, and solve mathematical challenges presented in natural language.

dnyanshwalwadkar/mlops-python-package

Kickstart your MLOps initiative with a flexible, robust, and productive Python package.

dnyanshwalwadkar/MobileNetV3

A Keras implementation of MobileNetV3.

dnyanshwalwadkar/MobileNetV4

This is a warehouse for MobileNetV4-Pytorch-model, can be used to train your image-datasets for vision tasks.

dnyanshwalwadkar/MobileNetV4-Tensorflow

dnyanshwalwadkar/notebooks

Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.

dnyanshwalwadkar/productionizing-llms

Code Repository for Blog - How to Productionize Large Language Models (LLMs)

dnyanshwalwadkar/rai-neat-starter-kit

Starter kit for CARLA RAI Challenge 2024 based on NEAT agent (https://github.com/autonomousvision/neat)

dnyanshwalwadkar/SOTA-Results-for-MNIST

dnyanshwalwadkar/Tools-to-Design-or-Visualize-Architecture-of-Neural-Network

Tools to Design or Visualize Architecture of Neural Network

dnyanshwalwadkar/Video-Processing-with-3DCNN-RNN-Networks