pkraison
research in environment understanding for autonomous machines | signal processing | artificial intelligence
Tampere UniversityTampere
Pinned Repositories
monodepth2
[ICCV 2019] Monocular depth estimation from a single image
avalanche
Avalanche: a End-to-End Library for Continual Learning.
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
CaNet
The code for paper "CANet: Class-Agnostic Segmentation Networks with Iterative Refinement and Attentive Few-Shot Learning"
cs231n.github.io
Public facing notes page
ex.ai
something new
nfcount
ouster_lidar
Resize
this is a python web app for resize the images.
pkraison's Repositories
pkraison/cs231n.github.io
Public facing notes page
pkraison/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
pkraison/fastai
The fast.ai deep learning library, lessons, and tutorials
pkraison/magenta
Magenta: Music and Art Generation with Machine Intelligence
pkraison/PySyft
A Library for Private, Secure Deep Learning
pkraison/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
pkraison/awesome-ai-residency
List of AI Residency Programs
pkraison/awesome-speech-recognition-speech-synthesis-papers
Automatic Speech Recognition, Speaker Verification, Speech Synthesis, Language Modeling
pkraison/CIFAR10CNNFlask
Building a convolutional neural network (CNN/ConvNet) using TensorFlow NN (tf.nn) module. The CNN model architecture is created and trained using the CIFAR10 dataset. The model is accessed using HTTP by creating a Web application using Python and Flask.
pkraison/clicr
Machine reading comprehension on clinical case reports
pkraison/Computer-Science
just a repository
pkraison/cs230-code-examples
Code examples in pyTorch and Tensorflow for CS230
pkraison/cs230-stanford.github.io
pkraison/DALI
A library containing both highly optimized building blocks and an execution engine for data pre-processing in deep learning applications
pkraison/Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
pkraison/Deep-Learning-Projects
pkraison/dl4g
Example code for the Eurographics Tutorial
pkraison/fluffy-waddle
image label predictor using keras and flask, for training used imagenet dataset with resnet 50.
pkraison/gym
A toolkit for developing and comparing reinforcement learning algorithms.
pkraison/headlines
pkraison/learnPythonResources
A list of learning resources to learn Python
pkraison/neon
Intel® Nervana™ reference deep learning framework committed to best performance on all hardware
pkraison/pyre-check
Performant type-checking for python.
pkraison/scipy
Scipy library main repository
pkraison/spaCy
💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython
pkraison/t81_558_deep_learning
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
pkraison/tensorflow
Computation using data flow graphs for scalable machine learning
pkraison/tensorflow_cookbook
Code for Tensorflow Machine Learning Cookbook
pkraison/WordCount
pkraison/yarn
Disambiguating biomedical and clinical concepts with word embeddings