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571.
▲
Show HN: Train Claude Skills on Your PR History
(github.com/sshh12)
2 points
sshh12
5 months ago
discuss
572.
▲
Tuitar – A portable guitar training tool and DIY kit
(github.com/orhun)
2 points
orhunp_
6 months ago
discuss
573.
▲
Show HN: Build ML training datasets from large-scale satellite/aerial imagery
(github.com/noahgolmant)
2 points
noahgolmant
6 months ago
discuss
574.
▲
Awesome-distributed-ML – A curated list for distributed [faster] LLM training
(github.com/Shenggan)
2 points
peter_d_sherman
6 months ago
discuss
575.
▲
Show HN: PyTorch-World – Modular Library to Build and Train World Models
(github.com/ParamThakkar123)
2 points
paramthakkar
6 months ago
discuss
576.
▲
OptiLLM: Accuracy improvements on reasoning tasks with zero training
(github.com/algorithmicsuperintelligence)
2 points
rzk
6 months ago
discuss
577.
▲
Built an Energy-Based Model without training – just GloVe and GPT embeddings
(github.com/farukalpay)
2 points
kinders
7 months ago
discuss
578.
▲
A Jax-Native LLM Post-Training Library
(github.com/google)
2 points
hustwindmaple
8 months ago
discuss
579.
▲
Quantized LLM training in pure CUDA/C++
(github.com/IST-DASLab)
2 points
ghuntley
8 months ago
discuss
580.
▲
Tunix: A JAX-native LLM Post-Training Library
(github.com/google)
2 points
saikatsg
8 months ago
discuss
581.
▲
Show HN: AI Dojo – open-source LeetCode-style trainer for AI prompts
(github.com/at1as)
2 points
jayw_lead
8 months ago
discuss
582.
▲
TimeCapsule LLM: trained only on data from certain time periods
(github.com/haykgrigo3)
2 points
indigodaddy
10 months ago
discuss
583.
▲
Show HN: Robot Data Augmentation – Multiply training data with new environments
(github.com/adiasg)
2 points
adiasg
10 months ago
discuss
584.
▲
Show HN: Implementing and Training a Transformer and Tokenizer in Rust
(github.com/liam-ilan)
2 points
liamilan
10 months ago
discuss
585.
▲
Simple GPT in pure Go, trained on Jules Verne books
(github.com/zakirullin)
2 points
asdfjsjj2342
10 months ago
discuss
586.
▲
Show HN: Upload training plans defined in natural language into you Garmin watch
(github.com/wklm)
2 points
wklm
a year ago
discuss
587.
▲
Show HN: Anagnorisis, local data-management with trainable recommendation engine
(github.com/volotat)
2 points
volotat
a year ago
discuss
588.
▲
OmniPainter: Training-Free Stylized Text-to-Image Generation with Fast Inference
(github.com/maxin-cn)
2 points
dvrp
a year ago
discuss
589.
▲
TTY Trainable Game Engine
(github.com/ivanbelenky)
2 points
ivanbelenky
a year ago
discuss
590.
▲
The simplest, fastest repository for training/finetuning small-sized VLMs
(github.com/huggingface)
2 points
s-macke
a year ago
discuss
591.
▲
Training a SOTA 7B LRM with 1.5x Throughput Improvment
(github.com/inclusionAI)
2 points
jinqueeny
a year ago
discuss
592.
▲
Diffusion-pipe: A pipeline parallel training script for diffusion models
(github.com/tdrussell)
2 points
danboarder
a year ago
discuss
593.
▲
SynCity: Training-Free Generation of 3D Worlds
(github.com/paulengstler)
2 points
cal85
a year ago
discuss
594.
▲
Smalldiffusion: Readable code for training and sampling from diffusion models
(github.com/yuanchenyang)
2 points
sebg
a year ago
discuss
595.
▲
SpeciesNet: AI models trained by Google to classify species in images
(github.com/google)
2 points
croes
a year ago
discuss
596.
▲
Microsoft releases TRELLIS dataset: 500k 3D assets for model generation training
(github.com/microsoft)
2 points
summarity
a year ago
discuss
597.
▲
Autotrain: Sota model training, open source, no code
(github.com/huggingface)
2 points
abhi1thakur
2 years ago
discuss
598.
▲
Apple ML – Reduce LLM training memory without speed loss
(github.com/apple)
2 points
taikon
2 years ago
discuss
599.
▲
Blotz 1: a trainable, MIT License Alphafold3 alternative
(github.com/jwohlwend)
2 points
Protostome
2 years ago
discuss
600.
▲
Show HN: Polaris – Training On-Device AI Agents with Real User Data
(github.com/cyrilzakka)
2 points
archiv
2 years ago
discuss
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