tanmayv25

x86-bootloader

Implementing the bootloader to learn the process

GaussianProcessRegression

Using Nvidia K20 to accelerate Gaussian Process Regression

deep-quant

Deep learning for forecasting company fundamental data

butler

CycleKnotDetector

This project is for class CSCE 668 Distributed Algorithms and Systems.

Deep-Compression-AlexNet

Deep Compression on AlexNet

distiller

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasystems.github.io/distiller

doppelgangerCache

CSE 614 Term Project

Microprocessor-System-Design

Contains the lab work of Microprocessor System Design. All the FPGA prototyping, Drivers and OS modules.

XNOR-Net-PyTorch

PyTorch Implementation of XNOR-Net

inference

Reference implementations of inference benchmarks

linux

Linux kernel source tree

Machine-Learning-Coursera

This repository includes my solutions to the Machine Learning Assignments offered on coursera.

onnxruntime

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

project-based-learning

Curated list of project-based tutorials

runtime

A performant and modular runtime for TensorFlow

tanmayv25.github.io

tensorrt-laboratory

Explore the Capabilities of the TensorRT Platform

vllm

A high-throughput and memory-efficient inference and serving engine for LLMs

XNOR-Net

ImageNet classification using binary Convolutional Neural Networks