Vidyasagar Bhargava's Projects
Books for deep learning
Materials for the Hugging Face Diffusion Models Course
Getting started with diffusion
Deep Learning Fundamentals -- Code material and exercises
Tutorial for International Summer School on Deep Learning, 2019
Kaggle's cats vs dogs redux
Educational materials on deep learning by Weights & Biases
Predict remaining useful lifetime of an electric car accurately to help drive owner satisfaction and future purchases. This solution comprises analyzing the vast quantity of telemetry data over time and building a Machine Learning model to predict the remaining useful life(RUL) of an electric vehicles EVs at each point in time of the operation of said vehicle. The customer is the largest automotive manufacturing company in India, by market share. The customer designs, builds, and delivers electric vehicles (EVs).
Non official project based on original /r/Deepfakes thread. Many thanks to him!
The fastai book, published as Jupyter Notebooks
🚀✨ Help beginners to contribute to open source projects
Complete deep learning project developed in Full Stack Deep Learning, Spring 2021
Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022
Google AI Research
GitHub's new feature: repo with the same name as your GitHub name initialized with README.md will show on your landing page!
The goal of this project is to enable users to create cool web demos using the newly released OpenAI GPT-3 API with just a few lines of Python.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
TensorFlow implementation of FAIR's InferSent (Supervised Learning of Universal Sentence Representations from Natural Language Inference Data)
Insights from IPL
Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.
Learning pytorch from basic to advance with practical examples
This is the Study Guide for Learn Machine Learning in 3 Months (PyTorch Curriculum) by Siraj Raval on Youtube
Quick Brush Up Python Concepts
Notes for machine learning