Pinned Repositories
2025_website
cs228-material
Teaching materials for the probabilistic graphical models and deep learning classes at Stanford
InferSent
TensorFlow implementation of FAIR's InferSent (Supervised Learning of Universal Sentence Representations from Natural Language Inference Data)
Machine-Learning-Links-And-Lessons-Learned
List of all the lessons learned, best practices, and links from my time studying machine learning
ml-2022
This Course is designed by me.
requests-for-research
A living collection of deep learning problems
stanford-tensorflow-tutorials
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
vidyasagarbhargava's Repositories
vidyasagarbhargava/Machine-Learning-Links-And-Lessons-Learned
List of all the lessons learned, best practices, and links from my time studying machine learning
vidyasagarbhargava/InferSent
TensorFlow implementation of FAIR's InferSent (Supervised Learning of Universal Sentence Representations from Natural Language Inference Data)
vidyasagarbhargava/stanford-tensorflow-tutorials
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
vidyasagarbhargava/course-nlp
A Code-First Introduction to NLP course
vidyasagarbhargava/Coursera-Introduction-to-Tensorflow
Introduction to Tensorflow for Artificial Intelligence, Machine Learning and Deep Learning
vidyasagarbhargava/Coursera-Time-Series
New Project
vidyasagarbhargava/data-science-ipython-notebooks
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.
vidyasagarbhargava/DataSciencePython
common data analysis and machine learning tasks using python
vidyasagarbhargava/DecisionTree
vidyasagarbhargava/deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
vidyasagarbhargava/Deep-Reinforcement-Learning-Hands-On
Hands-on Deep Reinforcement Learning, published by Packt
vidyasagarbhargava/Deeplearning_books
Books for deep learning
vidyasagarbhargava/dliss-tutorial
Tutorial for International Summer School on Deep Learning, 2019
vidyasagarbhargava/faceswap
Non official project based on original /r/Deepfakes thread. Many thanks to him!
vidyasagarbhargava/ISL-python
Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.
vidyasagarbhargava/LinearRegression
vidyasagarbhargava/LogisticRegression
vidyasagarbhargava/machine-learning-recipes
Following along with: Machine Learning Recipes with Josh Gordon
vidyasagarbhargava/meetup
vidyasagarbhargava/models
Models and examples built with TensorFlow
vidyasagarbhargava/nlp-architect
NLP Architect by Intel AI Lab: Python library for exploring the state-of-the-art deep learning topologies and techniques for natural language processing and natural language understanding
vidyasagarbhargava/osmooc-dashboard
GitHub scraper and source code for a dashboard showing the Open Science MOOC's repository statistics and user activities
vidyasagarbhargava/python_books
Best books for python
vidyasagarbhargava/PythonforDataScience
Guide for brushing up python for data science
vidyasagarbhargava/r-bootcamp-2016
vidyasagarbhargava/R_books
Books for R programming
vidyasagarbhargava/Reinforcement-learning-with-tensorflow
Simple Reinforcement learning tutorials
vidyasagarbhargava/sdss-2019
Slides and code for the "Modeling in the Tidyverse" short course on Wednesday, May 29 2019 at SDSS (Symposium on Data Science and Statistics).
vidyasagarbhargava/talks
vidyasagarbhargava/testrepo
This is just a test repo