Spandyie
PhD/ Data Scientist/ Algorithm Engineer/ Rock Climber / Aspiring Alpinist
Palo Alto NetworksSan Francisco
Spandyie's Stars
hkproj/mamba-notes
Notes on the Mamba and the S4 model (Mamba: Linear-Time Sequence Modeling with Selective State Spaces)
carbon-language/carbon-lang
Carbon Language's main repository: documents, design, implementation, and related tools. (NOTE: Carbon Language is experimental; see README)
karpathy/llama2.c
Inference Llama 2 in one file of pure C
OpenBeta/climbing-data
Open license climbing data
https-deeplearning-ai/machine-learning-engineering-for-production-public
Public repo for DeepLearning.AI MLEP Specialization
visenger/awesome-mlops
A curated list of references for MLOps
ultralytics/yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
elena-sharova/IsolationForest
testing scikit-learn Isolation Forest
bayesian-optimization/BayesianOptimization
A Python implementation of global optimization with gaussian processes.
Spandyie/miniature-fortnight
Tweeter data-mining project
Spandyie/crispy-lamp
Parse the stock data of S&P500 companies and display it on a streamlit webapp
hstrey/Hidden-Markov-Models-pymc3
Implementation of Hidden Markov Models in pymc3
ashkanmradi/Credit-Card-Fraud-Detection-using-HMM
using HMM to detect credit card fraudulent transaction
KiemNguyen/generative-adversarial-networks-for-fraud-detection
Generative Adversarial Networks for Fraud Detection
SamanKhamesian/Credit-Card-Fraud-Detection
This project is an implementation of credit card fraud detection using Hidden Markov Model (HMM)
soumith/ganhacks
starter from "How to Train a GAN?" at NIPS2016
awesome-lists/awesome-bash
A curated list of delightful Bash scripts and resources.
CSSEGISandData/COVID-19
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
CShorten/HenryAILabs-VideoList
A curated list of all Henry AI Labs videos on Deep Learning and AI organized by category!
cdeweyx/DS-Career-Resources
Compilation of resources for aspiring data scientists
iamtodor/data-science-interview-questions-and-answers
Data science interview questions with answers. Not ideally (yet)
Yet-Another-Series/Yet_Another_Algorithms_Repository
Beginner friendly repo for easily contributing algorithms' implementations
lava/matplotlib-cpp
Extremely simple yet powerful header-only C++ plotting library built on the popular matplotlib
rlabbe/Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
Spandyie/ParticleFilter
This project uses Particlefilter (Sequential Monte-Carlo Method) to estimate the remaining life of the structure based on Parish-Erdogan Law
cezannec/capsule_net_pytorch
Readable implementation of a Capsule Network as described in "Dynamic Routing Between Capsules" [Hinton et. al.]
sayakpaul/TF-2.0-Hacks
Contains my explorations of TensorFlow 2.x
Spandyie/Bayesian-Linear-Regression
In statistics, Bayesian linear regression is an approach to linear regression in which the statistical analysis is undertaken within the context of Bayesian inference. When the regression model has errors that have a normal distribution, and if a particular form of prior distribution is assumed, explicit results are available for the posterior probability distributions of the model's parameters.
JavierAntoran/Bayesian-Neural-Networks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
sgrvinod/a-PyTorch-Tutorial-to-Object-Detection
SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection