Pikachu DetectionDetecting Pikachu on Android using Tensorflow Object Detection API
Stars: ✭ 157 (-2.48%)
Numscanumsca is numpy for scala
Stars: ✭ 160 (-0.62%)
Ceviche🦐 Electromagnetic Simulation + Automatic Differentiation
Stars: ✭ 157 (-2.48%)
Riemann bookAn interactive book about the Riemann problem for hyperbolic PDEs, using Jupyter notebooks. Work in progress.
Stars: ✭ 160 (-0.62%)
ZigzagPython library for identifying the peaks and valleys of a time series.
Stars: ✭ 156 (-3.11%)
Pastas🍝 Pastas is an open-source Python framework for the analysis of hydrological time series.
Stars: ✭ 155 (-3.73%)
CourseramlI took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because I love jupyter notebooks!
Stars: ✭ 1,911 (+1086.96%)
Python LrcurveCreates a learning-curve plot for Jupyter/Colab notebooks that is updated in real-time.
Stars: ✭ 159 (-1.24%)
Fairseq Zh EnNMT for chinese-english using fairseq
Stars: ✭ 155 (-3.73%)
Ai uav在人工智能、机器视觉、高精度导航定位和多传感器融合等技术的助推下,众多行业迎来了前所未有的发展机遇,人工智能+无人机(AI+UAV)正是一个具有无限想象力的应用方向。
Stars: ✭ 161 (+0%)
Coms4995 S18COMS W4995 Applied Machine Learning - Spring 18
Stars: ✭ 156 (-3.11%)
TrlTrain transformer language models with reinforcement learning.
Stars: ✭ 158 (-1.86%)
MixtextMixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification
Stars: ✭ 159 (-1.24%)
AnomaliesinoptionsIn this notebook we will explore a machine learning approach to find anomalies in stock options pricing.
Stars: ✭ 155 (-3.73%)
Fastai audio[DEPRECATED] 🔊️ Audio with fastaiv1
Stars: ✭ 156 (-3.11%)
HddmHDDM is a python module that implements Hierarchical Bayesian parameter estimation of Drift Diffusion Models (via PyMC).
Stars: ✭ 158 (-1.86%)
CorusLinks to Russian corpora + Python functions for loading and parsing
Stars: ✭ 154 (-4.35%)
Hse Shad Ml🎓 Введение в машинное обучение. Курс от ВШЭ и ШАД на coursera.org
Stars: ✭ 160 (-0.62%)
CfdpythonA sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/
Stars: ✭ 2,180 (+1254.04%)
DatageneDataGene - Identify How Similar TS Datasets Are to One Another (by @firmai)
Stars: ✭ 156 (-3.11%)
IpystataEnables the use of Stata together with Python via Jupyter (IPython) notebooks.
Stars: ✭ 154 (-4.35%)
Router⚡️ A lightning fast HTTP router
Stars: ✭ 158 (-1.86%)
Py QuantmodPowerful financial charting library based on R's Quantmod | http://py-quantmod.readthedocs.io/en/latest/
Stars: ✭ 155 (-3.73%)
Ml Training AdvancedMaterials for the "Advanced Scikit-learn" class in the afternoon
Stars: ✭ 155 (-3.73%)
Hey JetsonDeep Learning based Automatic Speech Recognition with attention for the Nvidia Jetson.
Stars: ✭ 161 (+0%)
CofactorCoFactor: Regularizing Matrix Factorization with Item Co-occurrence
Stars: ✭ 160 (-0.62%)
Cpmoptimize🚀 🐍 Optimizes Python bytecode calculating linear recurrences
Stars: ✭ 159 (-1.24%)
Dss Pytorch⭐️ PyTorch implement of Deeply Supervised Salient Object Detection with Short Connection
Stars: ✭ 158 (-1.86%)
CopulasA library to model multivariate data using copulas.
Stars: ✭ 149 (-7.45%)
MgwrMultiscale Geographically Weighted Regression (MGWR)
Stars: ✭ 155 (-3.73%)
HpelmHigh performance implementation of Extreme Learning Machines (fast randomized neural networks).
Stars: ✭ 159 (-1.24%)
Spiking Neural Network Snn With Pytorch Where Backpropagation Engenders StdpWhat about coding a Spiking Neural Network using an automatic differentiation framework? In SNNs, there is a time axis and the neural network sees data throughout time, and activation functions are instead spikes that are raised past a certain pre-activation threshold. Pre-activation values constantly fades if neurons aren't excited enough.
Stars: ✭ 155 (-3.73%)
PytorchmedicalaiThis is the hands-on deep learning tutorial series for the 2018/2019 Medical AI course by DeepOncology AI.
Stars: ✭ 155 (-3.73%)
Deep Q LearningTensorflow implementation of Deepminds dqn with double dueling networks
Stars: ✭ 158 (-1.86%)
StocksPrograms for stock prediction and evaluation
Stars: ✭ 155 (-3.73%)
Your First Kaggle SubmissionHow to perform an exploratory data analysis on the Kaggle Titanic dataset and make a submission to the leaderboard.
Stars: ✭ 155 (-3.73%)
Actor Critic PublicThe source code for "An Actor Critic Algorithm for Structured Prediction"
Stars: ✭ 160 (-0.62%)