Chahat Deep Singh (chahatdeep)

chahatdeep

Geek Repo

Company:@prgumd

Location:University of Colorado, Boulder

Home Page:praisecu.github.io

Twitter:@chahatdeep

Github PK Tool:Github PK Tool

Chahat Deep Singh's repositories

ubuntu-for-robotics

This repository is for setting-up cuda-9/8, nvidia-396/387/384 driver, OpenCV-3.3, ROS Kinetic, Tensorflow-1.11/1.7/1.4/1.2.1, Pytorch-0.4

dotfiles

Custom-built config files for my Arch Linux System

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rtl8812au-wifi-driver

WiFi driver for EDUP EP-DB1607 600MBps WiFi Module for Linux

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Active-Event-Camera-Simulator

AESIM: Active Event Camera Simulator

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Adafruit_VL53L0X

Arduino library for Adafruit VL53L0X

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awesome-icons

A curated list of awesome Web Font Icons

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BungeeNeRF

[ECCV22] BungeeNeRF: Progressive Neural Radiance Field for Extreme Multi-scale Scene Rendering

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chahatdeep.github.io-2

Personal Website: http://chahatdeep.github.io/

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cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

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coming-soon

HTML 5 Responsive Coming Soon Under Construction template

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GFPGAN

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

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gtsam-project-python

Project template using GTSAM + python wrapping

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MaixPy

Micropython env for Sipeed Maix boards(K210 RISC-V)

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meta-intel-aero

Yocto layer to support Intel Aero platform

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nitinjsanket.github.io

Nitin's Academic Website

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nncase

Open deep learning compiler stack for Kendryte K210 AI accelerator

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raspberrypi

Raspberry Pi ARM based bare metal examples

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rigidmask

Code for "Learning to Segment Rigid Motions from Two Frames".

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rpg_davis_simulator

Simulate a DAVIS camera from synthetic Blender scenes

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rpg_quadrotor_mpc

Model Predictive Control for Quadrotors with extension to Perception-Aware MPC

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rpg_vid2e

Open source implementation of CVPR 2020 "Video to Events: Recycling Video Dataset for Event Cameras"

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rtl8723bu-wifi-driver

rtl8723bu WiFi driver for Edimax N150 module

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rtl8812au

Realtek 802.11n WLAN Adapter Linux driver

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tensorflow-on-arm

TensorFlow for Arm

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touche

The desktop application to configure Touchégg

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