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Name: John Cai
Type: User
Bio: Princeton and Cambridge Alum
Location: Santa Monica, California
Blog: https://johnc.ai
Name: John Cai
Type: User
Bio: Princeton and Cambridge Alum
Location: Santa Monica, California
Blog: https://johnc.ai
Cross-Domain Few-Shot Learning Benchmarking System
source code to ICLR'19, 'A Closer Look at Few-shot Classification'
[CVPR 2021 L2ID] The repository for Domain Agnostic Meta Score-based Learning
This projects aims in detection of video deepfakes using deep learning techniques like RestNext and LSTM. We have achived deepfake detection by using transfer learning where the pretrained RestNext CNN is used to obtain a feature vector, further the LSTM layer is trained using the features. For more details follow the documentaion.
A prize winning solution for DFDC challenge
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
Experimenting with deploying a cross-domain few-shot learning model in Flask
Generate GitBook style modern docs/tutorial websites using Gatsby + MDX
learning gatsby
Learning Gatsby and replicating the steps
Having fun with some GANs (:
GloVe model for distributed word representation
Refreshing my Regression Techniques with Kaggle House Prices dataset
Second iteration of my personal website
Fast and accurate human pose estimation in PyTorch. Contains implementation of "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose" paper.
Public repo for DeepLearning.AI MLEP Specialization
[CVPR 2020 VL3] The repository for meta fine-tuning in cross-domain few-shot learning.
A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)
Tools for using Maluuba's NewsQA Dataset (public version)
Pricing Barrier Options using Partial Differential Equations in C++
A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch
Neural Question Generation using the SQuAD and NewsQA datasets
Neural question generation using transformers
Replication files for the paper "Forecasting US recessions: The role of sentiment".
Scraping the latest trends from r/Singapore
ResNeSt: Split-Attention Network
An Integrated Framework for Textual Sentiment Time Series Aggregation and Prediction
Code for Final Statistical Analysis Project
Telegram Bot to retrieve and display relevant information on equities
Find big moving stocks before they move using machine learning and anomaly detection
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.