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151.

Reinforcement Learning (RL) Tutorial with Simple Game Code (github.com/omerbsezer)

5 points

7 years ago

152.

Curriculum for “Machine Learning Journey” by Siraj Raval on YouTube (github.com/llSourcell)

5 points

8 years ago

153.

Deep Learning Papers Reading Roadmap (github.com/songrotek)

5 points

8 years ago

154.

A collection of 15+ tutorials and projects for Udacity's deep learning program (github.com/udacity)

5 points

9 years ago

155.

Hacker's guide to Machine Learning (github.com/apeeyush)

4 points

12 years ago

156.

A Complete Machine Learning Package (github.com/Nyandwi)

4 points

5 years ago

157.

Show HN: Interactive Machine Learning Experiments (github.com/trekhleb)

4 points

6 years ago

158.

Minimal working examples of Rust's unique features (github.com/Mathieu-Desrochers)

4 points

8 years ago

159.

Deep Learning Tools for Microsoft's Data Science Virtual Machine (github.com/Microsoft)

4 points

10 years ago

160.

A repository of learning and R resources related to topic models (github.com/trinker)

4 points

10 years ago

161.

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

4 points

10 years ago

162.

A mindmap summarising Machine Learning concepts (github.com/dformoso)

3 points

9 years ago

163.

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

3 points

3 months ago

164.

Deep Learning Curriculum (github.com/jacobhilton)

3 points

2 years ago

165.

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

3 points

4 years ago

166.

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

3 points

5 years ago

167.

Interactive Machine Learning Experiments with TensorFlow and Tensorflow.js (github.com/trekhleb)

3 points

6 years ago

168.

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

3 points

7 years ago

169.

Great Collection of ML, DL, RL, Optimization, Vision, NLP, Summer School Courses (github.com/kmario23)

3 points

7 years ago

170.

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

3 points

7 years ago

171.

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

3 points

8 years ago

172.

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

3 points

8 years ago

173.

Neural Network Addition for numbers (github.com/EugenHotaj)

3 points

8 years ago

174.

Vectorized Linear Regression with Gradient Descent in JavaScript (github.com/javascript-machine-learning)

3 points

9 years ago

175.

Getting with machine learning (github.com/collections)

3 points

9 years ago

176.

Deep Learning with Python Jupyter Notebooks (github.com/fchollet)

3 points

9 years ago

177.

Machine Learning for Flappy Bird Using Neural Network and Genetic Algorithm (github.com/ssusnic)

3 points

9 years ago

178.

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

3 points

9 years ago

179.

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

3 points

9 years ago

180.

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

3 points

9 years ago