Hyperparameter Tuning with Microsoft NNI to automated machine learning (AutoML) experiments. The tool dispatches and runs trial jobs generated by tuning algorithms to search the best neural archite…

Dive into LLM development! Learn cutting-edge techniques behind models like OpenAI's GPT-4, Meta's LLaMA 2, Mistral-7B, and Anthropic's Claude. Master PyTorch, build transformers, & fine-tune pre-t…

Comprehensive collection of Python implementations and explanations for essential data structures and algorithms

Welcome to the Natural Language Processing Repository! This repository is a collection of code examples, algorithms, and resources for Natural Language Processing (NLP). NLP is a field that focuses…

WebTechnologies: HTML, CSS, JavaScript

Machine Learning - - Supervised, Unsupervised, and deep learning. Processing data for features, training models, assess performance, and tune parameters for better performance. In the process, you'…

This repository is a resource for learning and applying statistics in data science. It contains code examples and explanations for many common statistical concepts, from descriptive statistics thro…

Deeplearning model to predict earthquake occurence based on realtime data

Functional API, Advanced computer vision scenarios such as object detection, image segmentation, and interpreting convolutions. Generative deep learning, Style Transfer to Auto Encoding, VAEs, and …

Machine-Learning/Data-Science in one Notebook

Traffic Sign Classification Using Deep Learning in Python/Keras

Projects : DataScience, Artificial intelligence, Machine learning, Deep Learning

Finetuning BERT in PyTorch for sentiment analysis.

In this project, we will train a Bidirectional Neural Network and LSTM based deep learning model to detect fake news from a given news corpus.

Classification with Transfer Learning in Keras

we will use pre-trained NLP text embedding models from TensorFlow Hub, perform transfer learning to fine-tune models on real-world data, build and evaluate multiple models for text classification w…

This is the a Blogging Website created Using Flask

Detecting COVID-19 with Chest X-Ray using PyTorch from COVID-19 Radiography Dataset on Kaggle

Data Analysis on COVID19 dataset, published by John Hopkins University

Deep learning is part of a broader family of machine learning methods based on artificial neural networks with representation learning. Learning can be supervised, semi-supervised or unsupervised

This Repository consist of some popular Machine Learning Algorithms and their implementation of both theory and code in Jupyter Notebooks

Quantum machine learning is an emerging interdisciplinary research area at the intersection of quantum physics and machine learning

TensorFlow for building basic neural network for computer vision and use convolutions to improve your neural network.

Tumor Diagnosis: Exploratory Data Analysis With Seaborn

Using Tensorflow to solve time series and forecasting problems. Implement best practices to prepare data for time series learning & using RNNs and ConvNets for predictions. Finally, applying Tensor…

Solving Natural Language Processing problems with TensorFlow. Represent text through tokenization so that it’s recognizable by a neural network. Using RNNs, GRUs, and LSTMs, for NLP tasks and train…

Tensorflow with real-world images in different shapes and sizes, visualize the journey of an image through convolutions to understand how a computer “sees” information, plot loss and accuracy, and …

Understanding Deepfakes with Keras