Himanshu Singhleanrwithhimanshu.hashnode.dev·Jan 6, 2025My Machine Learning Journey: From Python Basics to Building Neural NetworksMachine Learning (ML) has always fascinated me. The idea of enabling a machine to "learn" and make decisions intrigued me enough to embark on a journey to understand and implement it. Here, I’ll share my experiences, challenges, and what I’ve achieve...35 reads#ClassificationProblems
Arman Chaudhary6monthstoaimastery.hashnode.dev·Jan 2, 2025Notebooks You Need to See for Learning PyTorchThis notebook is from a Kaggle competition, demonstrating the effective use of PyTorch. You can customize it to suit your needs for most predictive tasks in machine learning. 👉 Link to Jupyter Notebook import os import pickle import polars as pl i...Jupyter Notebook
Pranjal Chaubeypranjal28.hashnode.dev·Dec 13, 2024Introduction to Sentence Transformers: Enhancing Sentence Embeddings for NLPIn Natural Language Processing (NLP), Sentence Transformers are a powerful tool that convert entire sentences into high-dimensional vectors, or embeddings. Unlike traditional word embeddings like Word2Vec and GloVe, which focus on individual words, s...26 readssbert
Abu Precious O.btere.hashnode.dev·Dec 13, 2024From Training to Inference: How to Use/Know ML Profiling Tools to Maximize PerformanceTo continue our discussion on Latency, we shall talk today about everything profiling. Profiling tools are essential for monitoring the performance of your model and identifying bottlenecks during training and inference. Profiling helps in measuring ...1 likeml profiling
Beau CarnesforfreeCodeCampfreecodecamp.org·Dec 4, 2024Build a Stable Diffusion VAE From Scratch using PytorchWe just published a course on the freeCodeCamp.org YouTube channel that will teach you everything you need to know about Variational Autoencoders (VAEs). This course is perfect for anyone looking to dive deep into one of the fundamental concepts behi...VAEs (Variational Autoencoders
Weskillweskill.hashnode.dev·Dec 1, 2024Top Machine Learning ToolsIntroduction Machine learning tools are software frameworks, platforms, or libraries that enable developers to build, train, and deploy models efficiently. These tools cater to tasks like data preprocessing, model selection, training, evaluation, and...Machine Learning algorithm
AbuBakar khan lakhweraabubakarkhanlakhwera.hashnode.dev·Nov 25, 2024Week in Review: Python, PyTorch, and Building with Tkinter 🚀This week, I took a deep dive into Python and PyTorch, while also exploring GUI development with Tkinter. It was an enriching journey where I not only learned core programming concepts but also applied them in a small project. Here’s a summary of my ...Python
Uffa Modeyfafa.codes·Nov 17, 2024Build an ML Model for Classifying Images in a Django API App using Fastai, Hugging Face, Gradio and ColabOverview I developed an image-sharing API that allows authenticated users to upload images, which can be viewed by other authenticated users following them within the app. One requirement for this API was to integrate AI-based image classification, c...10 likes·37 readsgradio
Anton R Gordonantonrgordon.hashnode.dev·Nov 16, 2024Time-Series Forecasting with Deep Learning: Tools and Use CasesTime-series forecasting has emerged as a critical application in sectors ranging from finance and healthcare to supply chain and energy management. With the advancements in deep learning, this domain has seen significant breakthroughs, enabling busin...Memory Networks
Arya M. Pathakarya2004.hashnode.dev·Oct 30, 2024Understanding Activation Functions in GANsGenerative Adversarial Networks (GANs) have gained significant traction in deep learning, largely due to their ability to generate data resembling real-world data. Central to the functionality and performance of GANs are activation functions, which i...10 likesThe GAN Guide: From Basics to BreakthroughsPython
