tkhan3 Goto Github PK

jetson-stats-grafana-dashboard

A Grafana dashboard driven by a Prometheus metrics collector for monitoring NVIDIA Jetson devices

jetson-utils

C++/Python Linux utility wrappers for NVIDIA Jetson - camera, codecs, CUDA, GStreamer, HID, OpenGL/XGL

jetson_sd_main

Script Files for forecr.io Blog Posts

kaggle-tools

Some tools that I often find myself using in Kaggle challenges.

labelimg

🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images

license-super-resolution

A License Plate Image Reconstruction Project in Tensorflow2

long-term-video-prediction-without-supervision

Implementation of Hierarchical Long-term Video Prediction without Supervision

loss-landscape

Code for visualizing the loss landscape of neural nets

lucid

A collection of infrastructure and tools for research in neural network interpretability.

machine-learning-articles

🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.

machine_learning_examples

A collection of machine learning examples and tutorials.

machinelearning

My Git Hub Repository For Coursera Machine Learning Excercise

mametoolkit

A Python toolkit used to train reinforcement learning algorithms against arcade games

manim

Animation engine for explanatory math videos

mathinspector

A visual programing environment for scientific computing with python

micrograd

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

mirnet-tflite-trt

TensorFlow Lite models for MIRNet for low-light image enhancement.

mit-deep-learning

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

ml-class

Machine learning lessons and teaching projects designed for engineers

ml-from-scratch

Machine Learning From Scratch. Bare bones Python implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.

mleap

MLeap: Deploy Spark Pipelines to Production

mlt_talks

Slides, videos and other resources from MLT Talks

models

Models and examples built with TensorFlow

monk_object_detection

A one-stop repository for low-code easily-installable object detection pipelines.

motion_imitation

Code accompanying the paper "Learning Agile Robotic Locomotion Skills by Imitating Animals"

naca

Fork of NACA from Google Code

netron

Visualizer for neural network, deep learning and machine learning models

neural-pipeline

Neural networks training pipeline based on PyTorch

nlplibrary

objectron

Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes