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/Exploratory-Data-Analysis
ashishpatel26/IPython-Notebooks
Collection of my IPython notebooks
ashishpatel26/LearnDataScience
Open Content for self-directed learning in data science
ashishpatel26/NoteBooks-Statistics-and-MachineLearning
http://unsupervised-learning.com
ashishpatel26/6.006-2015-notebooks
ashishpatel26/BerkeleyX-CS190.1x-Scalable-Machine-Learning
This repository contains code files specifically IPython notebooks for the assignments in the course "Scalable Machine Learning" by UC Berkeley and Databricks on edX
ashishpatel26/BIOF509
Machine Learning and Object Oriented Programming with Python, a FAES course at the National Institutes of Health
ashishpatel26/Certificate-sender
Generate certificates from template and send over email
ashishpatel26/cnn_assignments
Convolutional Neural Networks Assignments
ashishpatel26/codelibrary
ashishpatel26/content
Official content for Harvard CS109
ashishpatel26/CS231n
my assignment solutions for CS231n Convolutional Neural Networks for Visual Recognition
ashishpatel26/DAT3
General Assembly's Data Science course in Washington, DC
ashishpatel26/deeppy
Deep learning in Python
ashishpatel26/icml16-dml
Deep Manifold Learning on Music Audio
ashishpatel26/MachineLearning
Udacity course on Machine Learning
ashishpatel26/Matrix-Factorization-ALS
Alternating least squares matrix factorization
ashishpatel26/pandas_tricks
A guide to useful pandas features for intermediate-level data mungers
ashishpatel26/Product_Rankings_with_Bayesian_Estimation
ashishpatel26/statlearning-notebooks
Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).
ashishpatel26/steganography-dataset
Dataset
ashishpatel26/study
to keep my study materials
ashishpatel26/tensorflow-deep-learning
google tensorflow deep learning for big data examples
ashishpatel26/tutorials
different types of tutorials, such as machine learning, image processing and etc.
ashishpatel26/URLcheck
Malicious Web Sites Detection using Suspicious URL