dPacc's Stars
dPacc/KerasDLWebApp
An End-to-End Deep-Learning Web Application for Cat/Dog Prediction using Keras with Tensorflow Backend.
dPacc/SSD
A Single Shot Detector with the MobileNet Architecture
dPacc/ComputerVision
Basic Image processing techniques using OpenCV. Object detection and segmentation using SSD, Mask-RCNN and Yolo V2
dPacc/Deep_Learning_Masterclass
In-depth Deep-Learning from scratch
matterport/Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
hakimel/reveal.js
The HTML Presentation Framework
kamranahmedse/developer-roadmap
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
MrGemy95/Tensorflow-Project-Template
A best practice for tensorflow project template architecture.
mbadry1/Top-Deep-Learning
Top 200 deep learning Github repositories sorted by the number of stars.
ossu/data-science
📊 Path to a free self-taught education in Data Science!
BrainJS/brain.js
🤖 GPU accelerated Neural networks in JavaScript for Browsers and Node.js
codertimo/BERT-pytorch
Google AI 2018 BERT pytorch implementation
davisking/dlib
A toolkit for making real world machine learning and data analysis applications in C++
facebookresearch/ParlAI
A framework for training and evaluating AI models on a variety of openly available dialogue datasets.
fastai/numerical-linear-algebra
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
onnx/onnx
Open standard for machine learning interoperability
fastai/fastai
The fastai deep learning library
microsoft/AirSim
Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research
tensorflow/tensor2tensor
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
PAIR-code/facets
Visualizations for machine learning datasets
jessemelpolio/non-stationary_texture_syn
Code used for texture synthesis using GAN
llSourcell/Learn_Deep_Learning_in_6_Weeks
This is the Curriculum for "Learn Deep Learning in 6 Weeks" by Siraj Raval on Youtube
dPacc/Machine-Learning
Using Regression, Classification, Clustering and Association-Rule Learning for solving several Machine-Learning problems. Dimensionality-Reduction techniques like PCA, LDA and Kernel-PCA
dPacc/Deep-Learning
To solve problems in Deep-Learning using ANN, CNN, RNN, Self-Organizing-Maps, Boltzmann Machines and AutoEncoders
norvig/paip-lisp
Lisp code for the textbook "Paradigms of Artificial Intelligence Programming"
olistic/warriorjs
🏰 An exciting game of programming and Artificial Intelligence
opencog/opencog
A framework for integrated Artificial Intelligence & Artificial General Intelligence (AGI)
kjw0612/awesome-deep-vision
A curated list of deep learning resources for computer vision
jbhuang0604/awesome-computer-vision
A curated list of awesome computer vision resources
fchollet/deep-learning-models
Keras code and weights files for popular deep learning models.