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301.
▲
Concepts – Laws, Principles, Mental Models, Cognitive Biases
github.com/lukasz-madon
5 comments
6 years ago
lukasm
35 points
302.
▲
Goku Flow Based Video Generative Foundation Models
github.com/Saiyan-World
11 comments
a year ago
lastdong
34 points
303.
▲
Blender addon to generate better building models from satellite imagery
github.com/Ivaneres
5 comments
5 years ago
app4soft
34 points
304.
▲
GPBoost: Combining Tree-Boosting with Gaussian Process and Mixed Effects Models
github.com/fabsig
5 comments
5 years ago
laichzeit0
33 points
305.
▲
Show HN: Entropy-Guided Loop – How to make small models reason
github.com/monostate
4 comments
10 months ago
andrewmonostate
33 points
306.
▲
PR to Change the LLaMA Models' Licence to Apache 2.0
github.com/facebookresearch
6 comments
3 years ago
hzj5790
32 points
307.
▲
Show HN: PILF, The ultimate solution to catastrophic oblivion on AI models
github.com/dmf-archive
12 comments
a year ago
NetRunnerSu
31 points
308.
▲
Show HN: Fine-tuned Llama 3.2 3B to match 70B models for local transcripts
bilawal.net
8 comments
10 months ago
phantompeace
31 points
309.
▲
LightlyTrain: Better Vision Models, Faster – No Labels Needed
github.com/lightly-ai
11 comments
a year ago
michal-l
30 points
310.
▲
YOLOv8: Real-time, SOTA, object detection and segmentation models
github.com/ultralytics
2 comments
3 years ago
yeldarb
28 points
311.
▲
Deploy and fine-tune large language models on K8s
github.com/substratusai
discuss
3 years ago
bobvanluijt
28 points
312.
▲
Show HN: GuitarLSTM-Create deep learning models of guitar amps/pedals in minutes
github.com/GuitarML
5 comments
6 years ago
keyth72
27 points
313.
▲
[Microsoft] NeuronBlocks – Building Your NLP DNN Models Like Playing Lego
github.com/Microsoft
1 comment
7 years ago
lisho
27 points
314.
▲
Ask HN: Business models for single dev OSS
16 comments
9 years ago
chuhnk
25 points
315.
▲
PyTorch-ProbGraph – Hierarchical Probabilistic Graphical Models in PyTorch
github.com/kpoeppel
4 comments
6 years ago
korbip
25 points
316.
▲
DeepSpeed Chat: Easy, Fast and Affordable RLHF Training of ChatGPT-Like Models
github.com/microsoft
discuss
3 years ago
lovestoChatGPT
25 points
317.
▲
I scanned 2,500 Hugging Face models for malware/issues. Here is the data
github.com/ArseniiBrazhnyk
19 comments
5 months ago
arseniibr
24 points
318.
▲
Show HN: Maestro – A Framework to Orchestrate and Ground Competing AI Models
5 comments
a year ago
defqon1
23 points
319.
▲
Show HN: Krixik – Easily sequence small/specialized AI models (pip-installable)
github.com/krixik-ai
4 comments
2 years ago
lucasllinasm
23 points
320.
▲
Show HN: Enforced, Annotated Schema for Ruby Sequel Models
github.com/karthikv
3 comments
11 years ago
karthikksv
22 points
321.
▲
Composer: A new PyTorch library to train models 4x faster with better algorithms
github.com/mosaicml
discuss
4 years ago
moinnadeem
21 points
322.
▲
Proof of concept for loading Caffe models in TensorFlow
github.com/ethereon
discuss
11 years ago
ozansener
21 points
323.
▲
Show HN: Python library to scan ML models for vulnerabilities
docs.giskard.ai
1 comment
3 years ago
mattbit
20 points
324.
▲
Show HN: TiGrIS, a tiling compiler that fits ML models onto embedded devices
github.com/raws-labs
discuss
2 months ago
asteinh
20 points
325.
▲
Show HN: Version code, models, & datasets together in GitHub
6 comments
3 years ago
skadamat
19 points
326.
▲
Yarn: Efficient Context Window Extension of Large Language Models
github.com/jquesnelle
5 comments
3 years ago
whalesalad
19 points
327.
▲
Show HN: Quaterion – x100 faster fine-tuning of similarity learning models
github.com/qdrant
1 comment
4 years ago
generall
19 points
328.
▲
InterpretML – Fit interpretable models. Explain blackbox machine learning
github.com/microsoft
discuss
7 years ago
mdturnerphys
19 points
329.
▲
Show HN: Autodistill – Use big slow foundation models to train small fast models
github.com/autodistill
discuss
3 years ago
yeldarb
18 points
330.
▲
Show HN: Terminal3d – View 3D Models in Your Terminal, Built with Rust
github.com/liam-ilan
1 comment
2 years ago
liamilan
17 points
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