Pinned Repositories
advanced-lane-lines
arctic
High performance datastore for time series and tick data
Artificial-Intelligence-and-Machine-Learning
Algorithm implementations and homework solutions for the Stanford's online courses
awesome-artificial-intelligence
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers
bbhtm
bare bone Hierarchial Temporal Memory
breast_cancer_classifier
Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening
caffe2
Caffe2 is a lightweight, modular, and scalable deep learning framework.
Convolutional-Neural-Stock-Market-Technical-Analyser
Uses Deep Convolutional Neural Networks (CNNs) to model the stock market using technical analysis. Predicts the future trend of stock selections.
pointnet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
NikolasBielski's Repositories
NikolasBielski/pointnet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
NikolasBielski/arctic
High performance datastore for time series and tick data
NikolasBielski/bbhtm
bare bone Hierarchial Temporal Memory
NikolasBielski/breast_cancer_classifier
Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening
NikolasBielski/caffe2
Caffe2 is a lightweight, modular, and scalable deep learning framework.
NikolasBielski/data.table
R's data.table package extends data.frame:
NikolasBielski/dvc
⚡️Data & models versioning for ML projects, make them shareable and reproducible
NikolasBielski/GNNPapers
Must-read papers on graph neural networks (GNN)
NikolasBielski/incubator-mxnet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
NikolasBielski/jekflix-template
A Jekyll template inspired by Netflix. 🎬
NikolasBielski/k9-chess-angular
K9 Chess refactored in Angular JS
NikolasBielski/Kaggle_PKU_Baidu
Kaggle_PKU_Baidu
NikolasBielski/Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
NikolasBielski/minimal-mistakes
:triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.
NikolasBielski/new-zealand-data
A list of New Zealand Datasets and APIs
NikolasBielski/NikolasBielski.github.io
Personal site/blog
NikolasBielski/nipunbatra.github.io
Nipun Batra's blog
NikolasBielski/opencog
A framework for integrated Artificial Intelligence & Artificial General Intelligence (AGI)
NikolasBielski/OpenFace
OpenFace – a state-of-the art tool intended for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation.
NikolasBielski/PGPortfolio
PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).
NikolasBielski/pipeline
PipelineAI: The Standard Runtime For Every Real-Time Machine Learning and AI Prediction in the Enterprise
NikolasBielski/pytorch-Deep-Learning-Minicourse
Minicourse in Deep Learning with PyTorch
NikolasBielski/really-awesome-gan
A list of papers on Generative Adversarial (Neural) Networks
NikolasBielski/Reinforcement-learning-in-portfolio-management-
In this paper, we implement three state-of-art continuous reinforcement learning algorithms, Deep Deterministic Policy Gradient (DDPG), Proximal Policy Optimization (PPO) and Policy Gradient (PG)in portfolio management.
NikolasBielski/rl-portfolio-management
Attempting to replicate "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem" https://arxiv.org/abs/1706.10059 (and an openai gym environment)
NikolasBielski/RoadDamageDetector
NikolasBielski/shogun
Shōgun
NikolasBielski/stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
NikolasBielski/Superalgos
Free and Open-Source Crypto-Trading Bots / Strategies
NikolasBielski/zhusuan
A Library for Bayesian Deep Learning, Generative Models, Based on Tensorflow