abhisheksgumadi Goto Github PK
Name: Abhishek Shivkumar
Type: User
Bio: Deep Learning for Natural Language Processing, Computer Vision and Speech
Location: London, United Kingdom
Name: Abhishek Shivkumar
Type: User
Bio: Deep Learning for Natural Language Processing, Computer Vision and Speech
Location: London, United Kingdom
Parse & test boolean expressions against text.
Caffe: a fast open framework for deep learning.
This is the solution to the collaboration and competition project in the Udacity Deep Reinforcement Learning Nanodegree
Solution to the Continuous Control project of Udacity Deep Reinforcement Learning Nanodegree
Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, Spark, Hadoop MapReduce, HDFS, matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. https://bit.ly/data-notes
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Deep Q Learning for the Banana collection Navigation project - Udacity Nanodegree
Summaries and notes on Deep Learning research papers
Project 3 of Udacity's Deep Reinforcement Learning nanodegree program.
Just a practice repository for the cart pole example from GYM repo from OpenAI
Face recognition using Tensorflow
Dimensionality reduction in very large datasets using Siamese Networks
A codebase showing how to implement machine translation using transformers in PyTorch and using HugginngFace library
Train an agent with the DQN algorithm to navigate a virtual world and collect as many yellow bananas as possible while avoiding blue bananas.
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
A 2 layered Recursive neural network for language modeling - MIT License
This project shows how to design a simple sentiment analysis using trained word2vec from Google
Sentiment classification using BERT fine tuning with HuggingFace library
A news popularity regressor built using decision trees on Spark - MIT License
A product recommendation system in Spark using just product purchase history without any ratings - MIT License
Text classifier for Hierarchical Attention Networks for Document Classification
Python version of the Conference Central app for Udacity course on Google App Engine
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.