vithursant
Sr. Research Scientist @Cerebras, ex-@uber-research, ex-Tesla, and former Graduate Student @uoguelph-mlrg and @VectorInstitute advised by @gwtaylor.
@uoguelph-mlrg Toronto, ON Canada
Pinned Repositories
Ackermann-Quicksort-Experiments
Analysis of recursion in C and Python for the Ackermann Function and Quicksort Algorithm.
alu-vhdl
4-Bit Algorithmic Logic Unit in VHDL
aws-cloudformation
AWS Cloudformation JSON Templates and Deployment Scripts
deep-learning-conda-envs
This repo contains Anaconda environment.yml files for different deep learning frameworks (i.e. TensorFlow, PyTorch, Theano, etc.)
MagnetLoss-PyTorch
PyTorch implementation of a deep metric learning technique called "Magnet Loss" from Facebook AI Research (FAIR) in ICLR 2016.
nanoGPT_mlx
Port of Andrej Karpathy's nanoGPT to Apple MLX framework.
sensortag-weather
A TI SensorTag-based weather station with automatic Bluetooth advertising.
SPL-ADVisE
PyTorch code for BMVC 2018 paper: "Self-Paced Learning with Adaptive Visual Embeddings"
terraform-aws-spotgpu
Fully automated provisioning of AWS EC2 Spot Instances for Deep Learning workloads using Terraform.
VAE-Gumbel-Softmax
An implementation of a Variational-Autoencoder using the Gumbel-Softmax reparametrization trick in TensorFlow (tested on r1.5 CPU and GPU) in ICLR 2017.
vithursant's Repositories
vithursant/MagnetLoss-PyTorch
PyTorch implementation of a deep metric learning technique called "Magnet Loss" from Facebook AI Research (FAIR) in ICLR 2016.
vithursant/terraform-aws-spotgpu
Fully automated provisioning of AWS EC2 Spot Instances for Deep Learning workloads using Terraform.
vithursant/nanoGPT_mlx
Port of Andrej Karpathy's nanoGPT to Apple MLX framework.
vithursant/VAE-Gumbel-Softmax
An implementation of a Variational-Autoencoder using the Gumbel-Softmax reparametrization trick in TensorFlow (tested on r1.5 CPU and GPU) in ICLR 2017.
vithursant/deep-learning-conda-envs
This repo contains Anaconda environment.yml files for different deep learning frameworks (i.e. TensorFlow, PyTorch, Theano, etc.)
vithursant/SPL-ADVisE
PyTorch code for BMVC 2018 paper: "Self-Paced Learning with Adaptive Visual Embeddings"
vithursant/Ackermann-Quicksort-Experiments
Analysis of recursion in C and Python for the Ackermann Function and Quicksort Algorithm.
vithursant/Roadside-Monitoring-System
Capstone Project: A Solar-Powered Roadside Monitoring Systems in Construction Zones.
vithursant/Seq2Seq_PlouffeRainbows
This repository contains sequence-to-sequence (seq2seq) code in Tensorflow that can be used as a tool for non-linear regression analysis or more specifically time-series analysis where there are no class-labels.
vithursant/SimplifiedTransformers_mlx
Apple MLX port of the Simplified Transformer Architecture (2023)
vithursant/vithursant.github.io
vithursant/Automatic_Speech_Recognition
End-to-end automatic speech recognition from scratch in Tensorflow
vithursant/awesome-deeplearning-resources
Deep Learning and deep reinforcement learning research papers and some codes
vithursant/axelrod-moran
vithursant/blogposts
Repository for all posts by Mad Eden S.L
vithursant/cis6650-a-dime-a-dozen
vithursant/ContinuousAI
Continuous AI collaborative project
vithursant/deep-learning-papers
This repository contains short summaries of some deep learning papers.
vithursant/DeepLens-workshops
vithursant/GradientEpisodicMemory
Continuum Learning with GEM: Gradient Episodic Memory
vithursant/hessian
hessian in pytorch
vithursant/learning-to-learn
Learning to Learn in TensorFlow
vithursant/maskrcnn-benchmark
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
vithursant/MNIST-ConvNet-Simple
vithursant/MNIST-Tensorboard
vithursant/mobile-pruning
vithursant/models
Models built with TensorFlow
vithursant/rl-study-group-supreme-octo-memory
vithursant/vim-config
Vim Configuration
vithursant/vimrc
My vim environment.