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181.
▲
Reinforcement Learning (RL) Tutorial with Demo
(github.com/omerbsezer)
6 points
obsezer
7 years ago
discuss
182.
▲
Show HN: Where to start learning Deep learning?
(github.com/astorfi)
6 points
irsina
8 years ago
discuss
183.
▲
Rust-learning: A bunch of links for learning Rust
(github.com/ctjhoa)
6 points
Tomte
9 years ago
discuss
184.
▲
PLE: Reinforcement Learning Environment in Python
(github.com/ntasfi)
5 points
nrmn
10 years ago
1 comment
185.
▲
135 Page Machine learning cheat sheet
(github.com/soulmachine)
5 points
Anon84
10 years ago
1 comment
186.
▲
Brings SQL and AI Together
(github.com/sql-machine-learning)
5 points
ngaut
7 years ago
discuss
187.
▲
Show HN: Deep Learning Resources for Starters
(github.com/osforscience)
5 points
irsina
7 years ago
discuss
188.
▲
Show HN: Deep Learning – Organized Resources for Learning What You Need to Know
(github.com/osforscience)
5 points
irsina
7 years ago
discuss
189.
▲
Reinforcement Learning (RL) Tutorial with Simple Game Code
(github.com/omerbsezer)
5 points
obsezer
7 years ago
discuss
190.
▲
Curriculum for “Machine Learning Journey” by Siraj Raval on YouTube
(github.com/llSourcell)
5 points
sahin-boydas
8 years ago
discuss
191.
▲
Deep Learning Papers Reading Roadmap
(github.com/songrotek)
5 points
melzarei
8 years ago
discuss
192.
▲
A collection of 15+ tutorials and projects for Udacity's deep learning program
(github.com/udacity)
5 points
mcleonard
9 years ago
discuss
193.
▲
Curated list of Kafka learning resources
(github.com/pmoskovi)
4 points
pmoskovi
2 years ago
1 comment
194.
▲
Show HN: Let's Learn Reinforcement Learning for Flappy Bird in JavaScript (2018)
(github.com/nileshsah)
4 points
nellex
6 years ago
1 comment
195.
▲
Hacker's guide to Machine Learning
(github.com/apeeyush)
4 points
elon_musk
12 years ago
discuss
196.
▲
Top Recommended Resources for Rails
(railsapps.github.com)
4 points
rjim86
14 years ago
discuss
197.
▲
A Complete Machine Learning Package
(github.com/Nyandwi)
4 points
mrleinad
5 years ago
discuss
198.
▲
Show HN: Interactive Machine Learning Experiments
(github.com/trekhleb)
4 points
trekhleb
6 years ago
discuss
199.
▲
Minimal working examples of Rust's unique features
(github.com/Mathieu-Desrochers)
4 points
ainar-g
8 years ago
discuss
200.
▲
Deep Learning Tools for Microsoft's Data Science Virtual Machine
(github.com/Microsoft)
4 points
hoaphumanoid
10 years ago
discuss
201.
▲
A repository of learning and R resources related to topic models
(github.com/trinker)
4 points
sebg
10 years ago
discuss
202.
▲
Learn Machine Learning 0-100
(github.com/ujjwalkarn)
4 points
kevindeasis
10 years ago
discuss
203.
▲
A mindmap summarising Machine Learning concepts
(github.com/dformoso)
3 points
jonbaer
9 years ago
1 comment
204.
▲
No-backprop SNN scores 98.2% on Split-MNIST task-incremental, age 14
(github.com/theGcmd)
3 points
theGcmd
3 months ago
discuss
205.
▲
Federated Learning: Decentralized Data and Privacy
(github.com/Protik49)
3 points
protik49
a year ago
discuss
206.
▲
Deep Learning Curriculum
(github.com/jacobhilton)
3 points
nothrowaways
2 years ago
discuss
207.
▲
Awesome-learning-Haskell: A collection of useful resources for learning Haskell
(github.com/tweag)
3 points
todsacerdoti
4 years ago
discuss
208.
▲
Signs that you're a bad, good, and fantastic programmer
(github.com/daryllxd)
3 points
gandresr
5 years ago
discuss
209.
▲
Papers on Machine Learning for Proteins
(github.com/yangkky)
3 points
fluctuation
6 years ago
discuss
210.
▲
Reinforcement Learning Using Scala
(github.com/simerplaha)
3 points
simerplaha
6 years ago
discuss
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