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Top New Best Ask Show Jobs

Top New Best Ask Show Jobs

91.

Learn Machine Learning 0-100 (github.com/ujjwalkarn)

4 points

10 years ago

92.

No-backprop SNN scores 98.2% on Split-MNIST task-incremental, age 14 (github.com/theGcmd)

3 points

3 months ago

93.

Federated Learning: Decentralized Data and Privacy (github.com/Protik49)

3 points

a year ago

94.

Deep Learning Curriculum (github.com/jacobhilton)

3 points

2 years ago

95.

Awesome-learning-Haskell: A collection of useful resources for learning Haskell (github.com/tweag)

3 points

4 years ago

96.

Signs that you're a bad, good, and fantastic programmer (github.com/daryllxd)

3 points

5 years ago

97.

Papers on Machine Learning for Proteins (github.com/yangkky)

3 points

6 years ago

98.

Reinforcement Learning Using Scala (github.com/simerplaha)

3 points

6 years ago

99.

100+ Machine Learning Trading Strategies (Google Colab) (github.com/firmai)

3 points

7 years ago

100.

Show HN: Rethink the Deep Learning Roadmap: A Curated List of Resources (github.com/astorfi)

3 points

7 years ago

101.

Show HN: Deep Learning Machine (Ansible Provisioning for ML Box) (github.com/arricor)

3 points

7 years ago

102.

Show HN: Deep Learning – All You Need to Know for a Great Start (github.com/osforscience)

3 points

7 years ago

103.

Show HN: What to start to learn for Deep Learning? (Resources) (github.com/astorfi)

3 points

8 years ago

104.

Show HN: Comprehensive and Organized Resources for Deep Learning Research (github.com/astorfi)

3 points

8 years ago

105.

Top-down learning path on Machine Learning (github.com/ZuzooVn)

3 points

8 years ago

106.

Reinforcement Learning Algorithms in Python (Based on Sutton and Barto) (github.com/diegoalejogm)

3 points

8 years ago

107.

Machine Learning Links and Lessons Learned (github.com/adeshpande3)

3 points

8 years ago

108.

Show HN: Collection of ML algorithms and neural networks in JavaScript (github.com/javascript-machine-learning)

3 points

8 years ago

109.

Collection: Getting started with machine learning (github.com/collections)

3 points

9 years ago

110.

Minimal and Clean Reinforcement Learning Examples (github.com/rlcode)

3 points

9 years ago

111.

3 different ways to do backpropagation in TensorFlow (github.com/rasbt)

3 points

9 years ago

112.

A collection of standalone TensorFlow models in Jupyter Notebooks (github.com/rasbt)

3 points

9 years ago

113.

Machine Learning Is Magic (Chrome Extension) (github.com/dswalter)

3 points

10 years ago

114.

Slagent – a self-learning tool for AI coding agents (Claude Code, Codex) (github.com/daegwang)

2 points

4 months ago

115.

Q-Learning for Temperature Control (github.com/the5avage)

2 points

2 years ago

116.

How to learn Shopify theme development (github.com/hfpp2012copy)

2 points

3 years ago

117.

An extensive collection of resources on contrastive learning (github.com/ryanzhumich)

2 points

4 years ago

118.

Show HN: Machine learning flight rules; tips and tricks for ml (github.com/bkkaggle)

2 points

7 years ago

119.

A Learning Path for Newbies in WordPress Development (github.com/ihtishamzahoor)

2 points

8 years ago

120.

Performing Hyperparameter Optimization with Amazon Machine Learning (github.com/alexandraj777)

2 points

9 years ago