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Top New Best Ask Show Jobs

Top New Best Ask Show Jobs

541.

Learning Resources and Puzzles for SQL

2 points

4 years ago

542.

Show HN: Make your own Neural Scene Renderer (with Pytorch)

2 points

idontevengohere

7 years ago

543.

Rich(er) Learning Environments for Developers?

2 points

7 years ago

544.

Show HN: AI/ML Weekly Digest – Curated by LLM, Summarized and Sentiment-Analyzed (hn-ai-newsletter.beehiiv.com)

1 point

3 years ago

545.

An example Python machine learning notebook for newcomers (github.com/rhiever)

174 points

11 years ago

546.

Foundations of deep learning (github.com/pauli-space)

101 points

9 years ago

547.

A Collection of Exercises for Learning Erlang (Or Any Other Language) (codyrioux.github.com)

61 points

14 years ago

548.

Combinatorial optimization with reinforcement learning (github.com/higgsfield)

28 points

8 years ago

549.

Have Fun with Machine Learning: A Guide for Beginners (github.com/humphd)

27 points

9 years ago

550.

Stanford Super VIP Cheatsheet: Machine Learning [pdf] (github.com/afshinea)

4 points

7 years ago

551.

VIP Cheatsheets for Stanford's CS 230 Deep Learning (github.com/afshinea)

4 points

8 years ago

552.

Show HN: Paper and Book List of System for Machine Learning (github.com/HuaizhengZhang)

3 points

6 years ago

553.

Training worm brains to recognize digits (github.com/vinayprabhu)

3 points

7 years ago

554.

Stanford Super VIP Cheatsheet: Deep Learning [pdf] (github.com/afshinea)

3 points

7 years ago

555.

Machine Learning Cheatsheets for Stanford's CS 229 (github.com/afshinea)

3 points

8 years ago

556.

Machine Learning Cheatsheets for Stanford's CS 229 (github.com/afshinea)

3 points

8 years ago

557.

Show HN: I solo-validated Fed learning at 10M nodes with 50% Byzantine tolerance (github.com/rwilliamspbg-ops)

2 points

rwilliamspbgops

4 months ago

558.

Introducing GitHub Learning Lab: A new way to level up on GitHub (blog.github.com)

2 points

8 years ago

559.

Show HN: Quantifying Learning (github.com/Joboman555)

2 points

9 years ago

560.

How you add new layers to deep neural networks (github.com/manuels)

2 points

10 years ago

561.

Show HN: My Java deep learning library from 10th grade (github.com/Daniel-Liu-c0deb0t)

1 point

6 years ago

562.

Continual Learning of Large Language Models: A Comprehensive Survey (github.com/Wang-ML-Lab)

1 point

a year ago

563.

Effective Learning Strategies for Programmers (akaptur.github.com)

1 point

5 years ago

564.

Can you Quantify Learning? (github.com/Joboman555)

1 point

9 years ago

565.

Computing the optimal road trip across the U.S (github.com/rhiever)

1 point

10 years ago

566.

Show HN: Thoth Machine Learning

15 points

11 years ago

567.

ML: Most powerful free annotation tool yet for TrainingData

12 points

7 years ago

568.

Walrus: A High Performance Storage Engine built from first principles

10 points

8 months ago

569.

Ask HN: What are your favorite GPT prompt engineering resources?

5 points

3 years ago

570.

Show HN: WebGL Liminal Space (liminal-dwsw5.ondigitalocean.app)

4 points

2 months ago