Heykuki News

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211.
Aatel: The Anti-AI Training Ethical License – What It Is and Why It Was Built (github.com/aatel-license)
3 points
aatel-license
3 months ago
1 comment
212.
Show HN: Torque – A declarative, typesafe DSL for LLM training datasets (MIT) (github.com/qforge-dev)
3 points
michalwarda
7 months ago
1 comment
213.
$1700 bounty delivers 2.4× speedup for CUDA Gaussian Splatting training (github.com/MrNeRF)
3 points
MrNeRF
10 months ago
1 comment
214.
Show HN: TrainCheck – Catch ML Training Bugs Before It's Too Late (github.com/OrderLab)
3 points
justmattyou
10 months ago
1 comment
215.
O(1) Memory Neural Network Training with Reversible Architectures (github.com/amazedsaint)
3 points
amazedsaint
a year ago
1 comment
216.
DeepSpeed-Chat: Easy, Fast and Affordable RLHF Training of ChatGPT-Like Models (github.com/microsoft)
3 points
ashvardanian
3 years ago
1 comment
217.
nanoGPT: The simplest repository for training medium-sized GPTs (github.com/karpathy)
3 points
isoprophlex
3 years ago
1 comment
218.
Generate millions of graphic design images for training (github.com/imagetranslate)
3 points
hbornfree
7 years ago
1 comment
219.
Training Convolutional Neural Network to detecte pavament cracks using Keras (github.com/TTMRonald)
3 points
TTM_Ronald
9 years ago
1 comment
220.
Opensourcing my codes for training AlexNet using Keras (github.com/duggalrahul)
3 points
dr39
9 years ago
1 comment
221.
A simple but fast Python library for training neural networks (github.com/tburmeister)
3 points
mirceasoaica
11 years ago
discuss
222.
DiGiTS is is a webapp for training deep learning models (github.com/NVIDIA)
3 points
albertzeyer
11 years ago
discuss
223.
Training more efficient smol models with SSTT and Canonical Entity IDs (github.com/beaglabs)
3 points
jdbohrman
8 days ago
discuss
224.
Show HN: Profine – optimize your PyTorch training script before the run (github.com/ProfineAI)
3 points
aisinghal
21 days ago
discuss
225.
Grove: Distributed LLM Training over AirDrop (github.com/swarnim-j)
3 points
oldfuture
2 months ago
discuss
226.
Microsoft's Rust Training (github.com/microsoft)
3 points
tayadeamit
2 months ago
discuss
227.
Microsoft Rust Training Books: Beginner, advanced, expert level material (github.com/microsoft)
3 points
matt_d
2 months ago
discuss
228.
Multi-node training on Mac Minis (PyTorch) (github.com/mps-ddp)
3 points
sassoshots44
2 months ago
discuss
229.
Rust-native hybrid training and inference engine for Apple Neural Engine and GPU (github.com/ncdrone)
3 points
ngaut
3 months ago
discuss
230.
Training neural networks on Apple Neural Engine via reverse'd private APIs (github.com/maderix)
3 points
zX41ZdbW
3 months ago
discuss
231.
Training neural networks on Apple Neural Engine (github.com/maderix)
3 points
danielmorozoff
3 months ago
discuss
232.
Show HN: Distributed Training Observability for PyTorch (TraceML) (github.com/traceopt-ai)
3 points
traceml-ai
4 months ago
discuss
233.
Show HN: "htop" for PyTorch training, see stalls, memory and step time live
3 points
traceopt
5 months ago
discuss
234.
Help Ukraine by attacking Russian web sites. Good load testing training (gist.github.com)
3 points
doener
6 months ago
discuss
235.
Open source x 3: GRPO training with OpenEnv, vLLM, and Oumi (github.com/oumi-ai)
3 points
stefanwebb
7 months ago
discuss
236.
Show HN: Distributed Storage System to 8x LLM Inference, GPU Training Efficiency (github.com/blackbird-io)
3 points
hackerpanda123
7 months ago
discuss
237.
MatrixTransformer: Structural Pattern Discovery Without Training
3 points
AyodeleFikayomi
10 months ago
discuss
238.
Stretching Each Dollar: Diffusion Training from Scratch on a Micro-Budget (github.com/SonyResearch)
3 points
tylergem
a year ago
discuss
239.
Show HN: NviWatch – Lightweight GPU Monitoring for AI/ML Training (github.com/msminhas93)
3 points
msminhas
2 years ago
discuss
240.
Effective Training of Diffusion Model for Photorealistic Text-to-Image Synthesis (github.com/Kwai-Kolors)
3 points
lnyan
2 years ago
discuss
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