Pinned Repositories
365-Days-Computer-Vision-Learning-Linkedin-Post
365 Days Computer Vision Learning Linkedin Post
500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
500 AI Machine learning Deep learning Computer vision NLP Projects with code
Amazing-Feature-Engineering
Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.
Andrew-NG-Notes
This is Andrew NG Coursera Handwritten Notes.
LLM-Finetuning
LLM Finetuning with peft
Real-time-ML-Project
A curated list of applied machine learning and data science notebooks and libraries across different industries.
ResourceBank_CV_NLP_MLOPS_2022
This repository offers a goldmine of materials for students of computer vision, natural language processing, and machine learning operations.
Tensorflow-in-practise-Specialization
Four Courses Specialization Tensorflow in practise Specialization
Tools-to-Design-or-Visualize-Architecture-of-Neural-Network
Tools to Design or Visualize Architecture of Neural Network
Treasure-of-Transformers
💁 Awesome Treasure of Transformers Models for Natural Language processing contains papers, videos, blogs, official repo along with colab Notebooks. 🛫☑️
ashishpatel26's Repositories
ashishpatel26/Titanic-Machine-Learning-from-Disaster
Start here if... You're new to data science and machine learning, or looking for a simple intro to the Kaggle prediction competitions. Competition Description The sinking of the RMS Titanic is one of the most infamous shipwrecks in history. On April 15, 1912, during her maiden voyage, the Titanic sank after colliding with an iceberg, killing 1502 out of 2224 passengers and crew. This sensational tragedy shocked the international community and led to better safety regulations for ships. One of the reasons that the shipwreck led to such loss of life was that there were not enough lifeboats for the passengers and crew. Although there was some element of luck involved in surviving the sinking, some groups of people were more likely to survive than others, such as women, children, and the upper-class. In this challenge, we ask you to complete the analysis of what sorts of people were likely to survive. In particular, we ask you to apply the tools of machine learning to predict which passengers survived the tragedy. Practice Skills Binary classification Python and R basics
ashishpatel26/Cuda-installation-on-WSL2-Ubuntu-20.04-and-Windows11
Cuda installation on WSL2 Ubuntu 20.04 and Windows11
ashishpatel26/Awesome-MLOps-Course-Outline
Awesome MLOps Course Outline
ashishpatel26/Data-Science-ML-Full-Stack
Everything you need to know for data science.
ashishpatel26/Kubeflow-installation-on-windows-10
Kubeflow installation on windows 10/11
ashishpatel26/Docker-For-Python-Machine-learning
Docker For Python Machine learning
ashishpatel26/MLFlow-End-to-End-Workshop-at-Chandigarh-University
MLFlow End to End Workshop at Chandigarh University
ashishpatel26/State-of-the-Art-Deep-Learning-Models-in-TensorFlow
State-of-the-Art Deep Learning Models in TensorFlow Modern Machine Learning in the Google Colab Ecosystem
ashishpatel26/DEVOPS-WORLD
DEVOPS-WORLD
ashishpatel26/awesome-github-profile-readme
😎 A curated list of awesome GitHub Profile READMEs 📝
ashishpatel26/CheatSheet-LLM
The LLM (Language Model) Cheatsheet is a quick reference guide that provides an overview of the key concepts and techniques related to natural language processing (NLP) and language modeling. It is designed to be a helpful tool for both beginners and advanced practitioners in the field of NLP.
ashishpatel26/Darts_Examples_ES_energy_Transformer
Python Darts deep forecasting models
ashishpatel26/Machine-Learning-Model-Serving-Patterns-and-Best-Practices
Machine Learning Model Serving Patterns and Best Practices
ashishpatel26/Machine-learning-pipeline-deployment-using-Docker-and-FastAPI
This project is focused on the Deployment phase of machine learning. The Docker and FastAPI are used to deploy a dockerized server of trained machine learning pipeline.
ashishpatel26/uvadlc_notebooks
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2022/Spring 2022
ashishpatel26/awesome-chatgpt-prompts
This repo includes ChatGPT prompt curation to use ChatGPT better.
ashishpatel26/learning-quantum
Study resources for learning quantum computing
ashishpatel26/Vision-Transformer-keras
Learning Tensorflow Step by Step:: Concepts, Examples & Applications
ashishpatel26/practical-data-privacy
Practical Data Privacy
ashishpatel26/DeepRLInTheWorld
From search engines, to science, to robotics, this reposity is meant to showcase the use of reinforcement learning in the world..
ashishpatel26/football_analytics
📊⚽ A collection of football analytics projects, data, and analysis by Edd Webster (@eddwebster), including a curated list of publicly available resources published by the football analytics community.
ashishpatel26/ManimML
ManimML is a project focused on providing animations and visualizations of common machine learning concepts with the Manim Community Library.
ashishpatel26/mlops-notebooks
MLOps notebooks
ashishpatel26/mlops-template
mlops template
ashishpatel26/PPML
Privacy Preserving Machine Learning (Manning Early Access Program)
ashishpatel26/Windows-Activator
ashishpatel26/awesome-multiple-object-tracking
Resources for Multiple Object Tracking (MOT)
ashishpatel26/knowledge
Everything I know
ashishpatel26/MevonAI-Speech-Emotion-Recognition
Identify the emotion of multiple speakers in an Audio Segment
ashishpatel26/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.