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followers: 5.0 following: 6.0 repos: 180.0 gists: 2.0

Name: Vinay Varma

Type: User

Bio: I want to build intelligent systems. Previously, I automated financial trading using Deep Reinforcement Learning at Niveshi.

Twitter: vinnuvinay008

Blog: https://vinayvarma.work/about/

About

🔭 I'm passionate about Artificial Intelligence and Machine Learning. I have previously worked as a Machine Learning engineer and taught an undergraduate course on Machine learning.

👉🏼 Feel free to follow me on LinkedIn to stay updated with my latest AI content.

Bio

🧠 Previously, I lead a small team Engineers at Niveshi and successfully applied deep reinforcement learning to financial trading.

🌱 Pursued my graduate studies[2021-2023] in Computer Science with a specialization in Machine Learning from Rutgers University.

🎓 I received my Bachelors in Electronics and Communication Engineering from NITD and graduated in 2018.

Personal Profile

🌎 vinayvarmak.com

Selected Writings

Here are my Thoughts on Building things
I wrote a series of posts on Deep Reinforcement learning: Intro to DeepRL(theory), Practice

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GitHub Stats

Vinay Varma's Projects

napkinml

A tiny lib with pocket-sized implementations of machine learning models in NumPy.

natural-language-processing-tutorials

Natural Language Processing Tutorials(NLP) with Julia and Python

ncp

Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors

neural-decision-forests

An implementation of the Deep Neural Decision Forests in PyTorch

niveshi_data_generator

For project related to Niveshi Interview

nlp-paper-presentation

Material for the class presentation of the Paper - Making Transformers Solve Compositional Tasks.

nn-foundations

Implementations of the key ideas behind modern Deep-learning from scratch(python, numpy)

notebooks

Jupyter Notebooks with Fluent Python examples

numerical-linear-algebra

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

open-electronics

:books: Great Resources for Electronics Enthusiasts

opennmt-py

Open Source Neural Machine Translation in PyTorch

practical-deep-learning-

Practical Deep Learning : A beginner tutorial to get up and running with practical deep learning.

practical_rl

A course in reinforcement learning in the wild

practicalai

A practical approach to learning machine learning.

probabilistic-programming-and-bayesian-methods-for-hackers

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 ;)

py-bitcoin

比特币的python实现，主要介绍比特币底层技术。如Base58编码、椭圆加密算法、MerkleTree、P2P对等网络、RPC通信、UTXO、虚拟机、DHT、DAG、链上数据的持久化存储等。

python-cookbook

Code samples from the "Python Cookbook, 3rd Edition", published by O'Reilly & Associates, May, 2013.

python-mlops-cookbook

This is an example of a Containerized Flask Application that can deploy to many target environments including: AWS, GCP and Azure.

python_reference

Useful functions, tutorials, and other Python-related things

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO) and Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR).

pytorch-a3c

PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".

pytorch-a3c-1

Simple A3C implementation with pytorch + multiprocessing