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421.
▲
Hummingbird,compiles trained ML models into tensor computation for inference
(github.com/microsoft)
3 points
tourist_on_road
6 years ago
1 comment
422.
▲
Generate millions of graphic design images for training
(github.com/imagetranslate)
3 points
hbornfree
7 years ago
1 comment
423.
▲
Training Convolutional Neural Network to detecte pavament cracks using Keras
(github.com/TTMRonald)
3 points
TTM_Ronald
9 years ago
1 comment
424.
▲
Opensourcing my codes for training AlexNet using Keras
(github.com/duggalrahul)
3 points
dr39
9 years ago
1 comment
425.
▲
Show HN: InstaBail – Excuse generating mobile web app using tube and train APIs
(github.com/instabail)
3 points
jsingleton
11 years ago
discuss
426.
▲
A simple but fast Python library for training neural networks
(github.com/tburmeister)
3 points
mirceasoaica
11 years ago
discuss
427.
▲
DiGiTS is is a webapp for training deep learning models
(github.com/NVIDIA)
3 points
albertzeyer
11 years ago
discuss
428.
▲
Show HN: Json2vec – build/train/deploy models with nested data structures
(github.com/json2vec)
3 points
granthamctaylor
5 days ago
discuss
429.
▲
Show HN: Train Claude Code's replacement (ds4 and pi and aoe)
(github.com/njbrake)
3 points
river_otter
8 days ago
discuss
430.
▲
Training more efficient smol models with SSTT and Canonical Entity IDs
(github.com/beaglabs)
3 points
jdbohrman
9 days ago
discuss
431.
▲
Show HN: Profine – optimize your PyTorch training script before the run
(github.com/ProfineAI)
3 points
aisinghal
22 days ago
discuss
432.
▲
ML-intern: open-source ML engineer that reads papers, trains and ships models
(github.com/huggingface)
3 points
xenova
2 months ago
discuss
433.
▲
Grove: Distributed LLM Training over AirDrop
(github.com/swarnim-j)
3 points
oldfuture
2 months ago
discuss
434.
▲
Microsoft's Rust Training
(github.com/microsoft)
3 points
tayadeamit
2 months ago
discuss
435.
▲
Microsoft Rust Training Books: Beginner, advanced, expert level material
(github.com/microsoft)
3 points
matt_d
2 months ago
discuss
436.
▲
Multi-node training on Mac Minis (PyTorch)
(github.com/mps-ddp)
3 points
sassoshots44
2 months ago
discuss
437.
▲
Rust-native hybrid training and inference engine for Apple Neural Engine and GPU
(github.com/ncdrone)
3 points
ngaut
3 months ago
discuss
438.
▲
Lewis 1.0 – 8B model trained on AI social data beats Sonnet on personality dvgnc
(github.com/swarmgram)
3 points
swarmgram
3 months ago
discuss
439.
▲
Training neural networks on Apple Neural Engine via reverse'd private APIs
(github.com/maderix)
3 points
zX41ZdbW
3 months ago
discuss
440.
▲
Training neural networks on Apple Neural Engine
(github.com/maderix)
3 points
danielmorozoff
3 months ago
discuss
441.
▲
Show HN: Distributed Training Observability for PyTorch (TraceML)
(github.com/traceopt-ai)
3 points
traceml-ai
4 months ago
discuss
442.
▲
Show HN: "htop" for PyTorch training, see stalls, memory and step time live
3 points
traceopt
5 months ago
discuss
443.
▲
Character-level language diffusion model trained on Tiny Shakespeare
(github.com/nathan-barry)
3 points
gmays
5 months ago
discuss
444.
▲
Help Ukraine by attacking Russian web sites. Good load testing training
(gist.github.com)
3 points
doener
6 months ago
discuss
445.
▲
Unsloth – Train LLMs 2x faster with 70% less VRAM
(github.com/unslothai)
3 points
jhack
6 months ago
discuss
446.
▲
Open source x 3: GRPO training with OpenEnv, vLLM, and Oumi
(github.com/oumi-ai)
3 points
stefanwebb
7 months ago
discuss
447.
▲
Show HN: Distributed Storage System to 8x LLM Inference, GPU Training Efficiency
(github.com/blackbird-io)
3 points
hackerpanda123
8 months ago
discuss
448.
▲
An MNIST neural net implemented and trained in x86 assembly
(github.com/mohammad-ghaderi)
3 points
Hadi7546
8 months ago
discuss
449.
▲
MatrixTransformer: Structural Pattern Discovery Without Training
3 points
AyodeleFikayomi
10 months ago
discuss
450.
▲
Simple GPT in pure Go, trained on Jules Verne books
(github.com/zakirullin)
3 points
kombucha255
a year ago
discuss
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