Vidyasagar Bhargava's Projects
playing with stock data and kafka
A list of popular deep learning models related to classification, segmentation and detection problems
A collection of resources and papers on Diffusion Models
:sunglasses: A curated list of awesome MLOps tools
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Causal Inference and Discovery in Python by Packt Publishing
RStudio Cheat Sheets
A complete computer science study plan to become a software engineer.
Best Practices, code samples, and documentation for Computer Vision.
Develop with AI-powered code suggestions using GitHub Copilot and VS Code
A Code-First Introduction to NLP course
Introduction to Tensorflow for Artificial Intelligence, Machine Learning and Deep Learning
New Project
Teaching materials for the probabilistic graphical models and deep learning classes at Stanford
Code and files to go along with CS329s machine learning model deployment tutorial.
Cheat Sheets
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
These are Github repositories for all data science material I feel important. I would update it daily.
common data analysis and machine learning tasks using python
a curated list of R tutorials for Data Science, NLP and Machine Learning
Repo for datasets
Supplementary Materials for the Deep Learning Book by Ian Goodfellow et al
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Jupyter notebooks for the code samples of the book "Deep Learning with Python"