CSKrishna
Artificial Intelligence Researcher. Research interests span Deep Learning, Recommendation Engines, Topic models, Deep Reinforcement Learning
DataSaurus Rex Pvt LtdNew Delhi, Chennai
Pinned Repositories
AD-NeRF
This repository contains a PyTorch implementation of "AD-NeRF: Audio Driven Neural Radiance Fields for Talking Head Synthesis".
CS294
Solutions to Deep RL assignments from CS294's Fall 2017 iteration
Deep-Learning-NLP-Course-Work
Solutions to coursework
GaussianAvatars
Official repo for "GaussianAvatars: Photorealistic Head Avatars with Rigged 3D Gaussians"
Hierarchical-Attention-Networks
Implementation of Hierarchical Attention Network model for text classification
NER
Java code for NER based on MEMM trigram model
Optimal-bidding-policy-using-Policy-Gradient-in-a-Multi-agent-Contextual-Bandit-setting
We use policy gradient to help agents learn optimal policies in a competitive multi-agent contextual bandit setting
Recommender-Systems-for-Implicit-Feedback-datasets
Matrix Factorization augmented with customer item meta data
Reinforcement-Learning-Easy21
Reinforcement Learning for Easy21 (from David Silver's RL course)
Tree_LSTMs-for-Aspect-based-Sentiment-Analysis
Tree Structured LSTM model for sentence level aspect based sentiment analysis
CSKrishna's Repositories
CSKrishna/Tree_LSTMs-for-Aspect-based-Sentiment-Analysis
Tree Structured LSTM model for sentence level aspect based sentiment analysis
CSKrishna/Recommender-Systems-for-Implicit-Feedback-datasets
Matrix Factorization augmented with customer item meta data
CSKrishna/Optimal-bidding-policy-using-Policy-Gradient-in-a-Multi-agent-Contextual-Bandit-setting
We use policy gradient to help agents learn optimal policies in a competitive multi-agent contextual bandit setting
CSKrishna/CS294
Solutions to Deep RL assignments from CS294's Fall 2017 iteration
CSKrishna/Hierarchical-Attention-Networks
Implementation of Hierarchical Attention Network model for text classification
CSKrishna/Reinforcement-Learning-Easy21
Reinforcement Learning for Easy21 (from David Silver's RL course)
CSKrishna/Deep-Learning-NLP-Course-Work
Solutions to coursework
CSKrishna/NER
Java code for NER based on MEMM trigram model
CSKrishna/AD-NeRF
This repository contains a PyTorch implementation of "AD-NeRF: Audio Driven Neural Radiance Fields for Talking Head Synthesis".
CSKrishna/algs4-py
A Python library for the textbook Algorithms, 4th edition
CSKrishna/Awesome-CS-Books-and-Digests
:books: Awesome CS Books(with Digests)/Series(.pdf by git lfs) Warehouse for Geeks, ProgrammingLanguage, SoftwareEngineering, Web, AI, ServerSideApplication, Infrastructure, FE etc. :dizzy: 优秀计算机科学与技术领域相关的书籍归档,以及我的读书笔记。
CSKrishna/cloudml-samples
Samples for Google Cloud Machine Learning Engine
CSKrishna/CS162-Operating-Systems
Repository for final versions of work for CS162 Operating Systems
CSKrishna/CS168
Projects for CS 168 (Modern Algorithmic Toolbox at Stanford), Spring 2021
CSKrishna/cs229
Stanford CS229 (Autumn 2017)
CSKrishna/cs229-2018-autumn
All notes and materials for the CS229: Machine Learning course by Stanford University
CSKrishna/CS229-Machine-Learning
Stanford CS229 course material by Andrew Ng, with problem set, Matlab code and scanned notes written by me
CSKrishna/cs229-ps-2018
My solutions to the problem sets of Stanford cs229, 2018
CSKrishna/expr
CSKrishna/fold
Deep learning with dynamic computation graphs in TensorFlow
CSKrishna/gcp-retail-workshop-2018
Content for a retail-focused workshop showcasing the data and analytics capabilities of the Google Cloud Platform
CSKrishna/group0
CSKrishna/MLOPS
CSKrishna/NeuralVoicePuppetryMMD
This github contains the network architectures of NeuralVoicePuppetry.
CSKrishna/stanford-cs229
🤖 Exercise answers to the problem sets from the 2017 machine learning course cs229 by Andrew Ng at Stanford
CSKrishna/student0
CSKrishna/Thanos