vtharmalingam
Technical Evangelist | Data Scientist | C++, PHP, Python, R, ... | B.Tech., M.S., Pursuing Doctorate
INDIA
Pinned Repositories
ant-design
🐜 A UI Design Language
clientexamples
Boiler plate code for calling restdb.io REST APIs for popular programming languages
fastbook
The fastai book, published as Jupyter Notebooks
flutter_datetime_experiment
incubator-airflow
Apache Airflow (Incubating)
LSTM-Neural-Network-for-Time-Series-Prediction
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
machine-learning-articles
🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
ml-agents
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.
ml-class
Machine learning lessons and teaching projects designed for engineers
walkwithfastai.github.io
Host for https://walkwithfastai.com
vtharmalingam's Repositories
vtharmalingam/machine-learning-articles
🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
vtharmalingam/ant-design
🐜 A UI Design Language
vtharmalingam/clientexamples
Boiler plate code for calling restdb.io REST APIs for popular programming languages
vtharmalingam/fastbook
The fastai book, published as Jupyter Notebooks
vtharmalingam/flutter_datetime_experiment
vtharmalingam/incubator-airflow
Apache Airflow (Incubating)
vtharmalingam/LSTM-Neural-Network-for-Time-Series-Prediction
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
vtharmalingam/ml-agents
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.
vtharmalingam/ml-class
Machine learning lessons and teaching projects designed for engineers
vtharmalingam/ui_portal
vtharmalingam/walkwithfastai.github.io
Host for https://walkwithfastai.com
vtharmalingam/Practical-Deep-Learning-for-Coders-2.0
Notebooks for the "A walk with fastai2" Study Group and Lecture Series
vtharmalingam/PyABSA
Sentiment Analysis, Text Classification, Text Augmentation, Text Adversarial defense, etc.;
vtharmalingam/Random-Portfolio-vs-Benchmark-Strategy
Python Monte Carlo Simulation to model returns from randomly generated portfolios against a benchmark index.
vtharmalingam/ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.
vtharmalingam/rest-client
vtharmalingam/stock_watchlist
Stocks watchlist app built using Flutter