Pinned Repositories
Afr-Soil-Prediction
Advances in rapid, low cost analysis of soil samples using infrared spectroscopy, georeferencing of soil samples, and greater availability of earth remote sensing data provide new opportunities for predicting soil functional properties at unsampled locations. Soil functional properties are those properties related to a soil’s capacity to support essential ecosystem services such as primary productivity, nutrient and water retention, and resistance to soil erosion. Digital mapping of soil functional properties, especially in data sparse regions such as Africa, is important for planning sustainable agricultural intensification and natural resources management.
AVAZU-CTR-Prediction
In online advertising, click-through rate (CTR) is a very important metric for evaluating ad performance. As a result, click prediction systems are essential and widely used for sponsored search and real-time bidding.
Driver-Telematics-Analysis
Human-Activity-Recognition
Human Activity Recognition - HAR - has emerged as a key research area in the last years and is gaining increasing attention by the pervasive computing research community Read more: http://groupware.les.inf.puc-rio.br/har#ixzz3DWwgwZM1, especially for the development of context-aware systems. There are many potential applications for HAR, like: elderly monitoring, life log systems for monitoring energy expenditure and for supporting weight-loss programs, and digital assistants for weight lifting exercises.
KDD2015
KDD Cup 2015
Mapbox-Navigation-React-Native
Melbourne_Datathon_2016_Kaggle
The objective is to predict if a job is in the 'Hotel and Tourism' category.
Predict-click-through-rates-on-display-ads
Display advertising is a billion dollar effort and one of the central uses of machine learning on the Internet. However, its data and methods are usually kept under lock and key. In this research competition, CriteoLabs is sharing a week’s worth of data for you to develop models predicting ad click-through rate (CTR). Given a user and the page he is visiting, what is the probability that he will click on a given ad? The goal of this challenge is to benchmark the most accurate ML algorithms for CTR estimation. All winning models will be released under an open source license. As a participant, you are given a chance to access the traffic logs from Criteo that include various undisclosed features along with the click labels.
Real-time-Mobile-Video-Object-Detection
SwiftKey-Natural-language
SwiftKey, our corporate partner in this capstone, builds a smart keyboard that makes it easier for people to type on their mobile devices. One cornerstone of their smart keyboard is predictive text models.
ivanliu1989's Repositories
ivanliu1989/Mapbox-Navigation-React-Native
ivanliu1989/aas
Code to accompany Advanced Analytics with Spark from O'Reilly Media
ivanliu1989/amazon-sagemaker-examples
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
ivanliu1989/Auto-GPT
An experimental open-source attempt to make GPT-4 fully autonomous.
ivanliu1989/Awesome-LLMOps
An awesome & curated list of best LLMOps tools for developers
ivanliu1989/ChatGPT
Reverse engineered ChatGPT API
ivanliu1989/customgpt-cookbook
Examples and guides for using the CustomGPT API
ivanliu1989/DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models for search and recommendation.
ivanliu1989/dvc
🦉Data Version Control | Git for Data & Models
ivanliu1989/elevenlabs-python
The official Python API for ElevenLabs text-to-speech.
ivanliu1989/feast
Feature Store for Machine Learning
ivanliu1989/gpt4free
The official gpt4free repository | various collection of powerful language models
ivanliu1989/h2o
h2o = fast statistical, machine learning & math runtime for bigdata
ivanliu1989/kustomize
Customization of kubernetes YAML configurations
ivanliu1989/langchain
⚡ Building applications with LLMs through composability ⚡
ivanliu1989/LeetCode-Questions-CompanyWise
Contains Company Wise Questions sorted based on Frequency and all time
ivanliu1989/manifests
A repository for Kustomize manifests
ivanliu1989/microblog
ivanliu1989/mildnet
Visual Similarity research at Fynd. Contains code to reproduce 2 of our research papers.
ivanliu1989/mostly-adequate-guide
Mostly adequate guide to FP (in javascript)
ivanliu1989/notion-qa
ivanliu1989/pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
ivanliu1989/pipelines
Machine Learning Pipelines for Kubeflow
ivanliu1989/prebid-server
Server side component to offload prebid processing to the cloud
ivanliu1989/pyblockchain
ivanliu1989/pycaret
An open-source, low-code machine learning library in Python
ivanliu1989/scikit-learn
scikit-learn: machine learning in Python
ivanliu1989/tensorflow
An Open Source Machine Learning Framework for Everyone
ivanliu1989/tensorpack
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
ivanliu1989/TTS
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production