6000 Open source projects that are alternatives of or similar to Duke Tsinghua Mlss 2017

live code

This is the code for "Kaggle Challenge (LIVE)" by Siraj Raval on Youtube

We used Machine learning techniques to evaluate past data pertaining to the stock market and world affairs of the corresponding time period, in order to make predictions in stock trends. We built a model that will be able to buy and sell stock based on profitable prediction, without any human interactions. The model uses Natural Language Processing (NLP) to make smart “decisions” based on current affairs, article, etc. With NLP and the basic rule of probability, our goal is to increases the accuracy of the stock predictions.

A repository to save my machine learning notes.

A Los Angeles Times analysis of arrests of the homeless by the LAPD

PyEIS: A Python-based Electrochemical Impedance Spectroscopy simulator and analyzer

A workshop on data privacy methods for data scientists.

Code base for the epidemiological model introduced in the context of COVID-19

Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC

All my deep learning notes: contains v1 of machine learning with Jeremy Howard, and v1 of Fastai Deep Learning 2018 part 1

python notebooks accompanying the book Make Your Own GAN

Memory efficient MAML using gradient checkpointing

searching large heterogenous data dumps with Universal Sentence Encoder

Formalizing and benchmarking open problems in single-cell genomics

Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.

Codes related to activities on AV including articles, hackathons and discussions.

Machine Learning University: Accelerated Computer Vision Class

A Python package for training and analyzing expected goals (xG) models in soccer.

Tensorflow实战学习笔记、代码、机器学习进阶系列

🔤 Calculate average word embeddings (word2vec) from documents for transfer learning

Code and Notebooks for the Natural Language Processing with Python course.

An image recognition/object detection model that detects handwritten digits and simple math operators. The output of the predicted objects (numbers & math operators) is then evaluated and solved.

Python Crypto Bot

Attention, I'm Trying to Speak: End-to-end speech synthesis (CS224n '18)

Model Compression Based on Geoffery Hinton's Logit Regression Method in Keras applied to MNIST 16x compression over 0.95 percent accuracy.An Implementation of "Distilling the Knowledge in a Neural Network - Geoffery Hinton et. al"

Computer Vision Nanodegree program from Udacity

What Twitter reveals about the differences between cities and the monoculture of the Bay Area

The tools and syntax you need to code neural networks from day one.

Code Repository for the online course Feature Selection for Machine Learning

Uses Zillow metadata, NLP on realtor description, and VGG16 on home images to predict home sale prices in Portland from 6/16 - 7/17.

[ICML 2020] PyTorch Code for "Efficient Continuous Pareto Exploration in Multi-Task Learning"

Implementation of the LeNet-5 deep neural network model in Tensorflow. https://www.youtube.com/watch?v=ixkpBmKRZDw

Mask On-Off control with computer vision

Twitter sentiment analysis based on Apache Spark, MLlib, Scala and Akka.

Jupyter notebooks and datasets for the interesting pandas/python/data science video series.

Tensorflow Tutorial files and Implementations of various Deep NLP and CV Models.

Contains an implementation (sklearn API) of the algorithm proposed in "GENDIS: GEnetic DIscovery of Shapelets" and code to reproduce all experiments.

Multilayer Neural Network using numpy.

LSTM-CRF for NER with ConLL-2002 dataset

tuSimple dataset road lane instance segmentation with PyTorch, ROS, ENet, SegNet and Discriminative Loss.

Code for our paper "Generalized Orderless Pooling Performs Implicit Salient Matching" published at ICCV 2017.

Repository of syllabi, lecture notes, Jupyter notebooks, code, and problem sets for OSE Lab Boot Camp 2019

COVID-Net Open Source Initiative - Models and Data for COVID-19 Detection in Chest CT

Multi Text Classificaiton

Deep Q Learning via Pytorch

Data release for Activity Inequality paper

Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.

This is the code for "The Evolution of Gradient Descent" by Siraj Raval on Youtube

Tools for estimating problem difficulty, predictors rating trajectories, and tracking individual learning progress in algorithms.