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jayinai

Elite
@jayinai

Tech Lead, Machine Learning Engineer

data-science-question-answer. A repo for data science related questions and answers

2.4k

ml-interview. Preparing for machine learning interviews

903

kaggle-classification. A compiled list of kaggle competitions and their winning solutions for classification problems.

276

ml-cheatsheet. A constantly updated python machine learning cheatsheet

167

kaggle-regression. A compiled list of kaggle competitions and their winning solutions for regression problems.

152

teach-machine-to-trade. Python

118

kaggle-image. A compiled list of kaggle competitions and their winning solutions for image problems.

56

how-to-kaggle. A research into the workflow for Kaggle competition (and data science in general) collaboratively

49

kaggle-sequence. A compiled list of kaggle competitions and their winning solutions for sequence problems.

37

twitter-analysis. Python

26

kaggle-miscellaneous. A compiled list of kaggle competitions and their winning solutions for miscellaneous problems.

12

all-about-ml. State of the art ML research and applications

7

tensorflow_cookbook. Code for Tensorflow Machine Learning Cookbook

6

beyond-simple-nn-notebook. Notebook examples for blog post "Moving Beyond Simple Neural Nets"

6

serve-ml-with-clipper. Notebook for blog post "Serve Machine Learning Models with Clipper"

6

pva-faster-rcnn. Demo code for PVANET

6

awesome-rl. Reinforcement learning resources curated

6

cheatsheets-ai. Essential Cheat Sheets for deep learning and machine learning researchers

5

awesome-deep-learning-papers. The most cited deep learning papers

3

face_classification. Real-time face detection and emotion/gender classification using fer2013/imdb datasets with a keras CNN model and openCV.

2

Java. Java programs

2

machine-learning-for-software-engineers. A complete daily plan for studying to become a machine learning engineer.

2

QuantSoftwareToolkit. QuantSoftwareToolkit

2

tensorforce. TensorForce: A TensorFlow library for applied reinforcement learning

1

diagnose-heart. Solution to win the second Annual Data science bowl

1

imgaug. Image augmentation for machine learning experiments.

1

kaggle-dsb2-keras. Keras tutorial for Kaggle 2nd Annual Data Science Bowl

1

DeepLearningProjectWorkflow. Machine Learning Workflow, from Andrew Ng's lecture at Deep Learning Summer School 2016

1

spark-deep-learning. Deep Learning Pipelines for Apache Spark

1

ml-videos. A collection of video resources for machine learning

1

dvc. Make your data science projects reproducible and shareable. https://dataversioncontrol.com

1

neural_complete. A neural network trained to help writing neural network code using autocomplete

1

speech_recognition. Speech recognition module for Python, supporting several engines and APIs, online and offline.

1

spyre. a web application framework for python

1

cs-video-courses. List of Computer Science courses with video lectures.

1

MITIE. MITIE: library and tools for information extraction

1

system-design-primer. Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

1

scalable-data-science-platform. Content for architecting a data science platform for products using Luigi, Spark & Flask.

1

pipeline. PipelineIO: End-to-End ML and AI Platform for Real-time Spark and Tensorflow Data Pipelines

1

gym-multiplot. Visualizing and Comparing Multiple OpenAI Gym Experiments

1

Sonar. Decentralized Machine Learning Server (hosted on Blockchain)

1