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931.
▲
A collection of Tailwind CSS v4.0 utilities for creating beautiful animations
(github.com/Wombosvideo)
3 points
doener
a month ago
discuss
932.
▲
ML-intern: open-source ML engineer that reads papers, trains and ships models
(github.com/huggingface)
3 points
xenova
2 months ago
discuss
933.
▲
Grove: Distributed LLM Training over AirDrop
(github.com/swarnim-j)
3 points
oldfuture
2 months ago
discuss
934.
▲
Microsoft's Rust Training
(github.com/microsoft)
3 points
tayadeamit
2 months ago
discuss
935.
▲
Microsoft Rust Training Books: Beginner, advanced, expert level material
(github.com/microsoft)
3 points
matt_d
3 months ago
discuss
936.
▲
Multi-node training on Mac Minis (PyTorch)
(github.com/mps-ddp)
3 points
sassoshots44
3 months ago
discuss
937.
▲
Rust-native hybrid training and inference engine for Apple Neural Engine and GPU
(github.com/ncdrone)
3 points
ngaut
3 months ago
discuss
938.
▲
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
939.
▲
Show HN: Colchis Log – cryptographic audit trail for AI systems (Python)
(github.com/GhurtSky-GR13)
3 points
GhurtSky
3 months ago
discuss
940.
▲
Training neural networks on Apple Neural Engine via reverse'd private APIs
(github.com/maderix)
3 points
zX41ZdbW
3 months ago
discuss
941.
▲
Training neural networks on Apple Neural Engine
(github.com/maderix)
3 points
danielmorozoff
3 months ago
discuss
942.
▲
Show HN: Distributed Training Observability for PyTorch (TraceML)
(github.com/traceopt-ai)
3 points
traceml-ai
4 months ago
discuss
943.
▲
Show HN: "htop" for PyTorch training, see stalls, memory and step time live
3 points
traceopt
5 months ago
discuss
944.
▲
Character-level language diffusion model trained on Tiny Shakespeare
(github.com/nathan-barry)
3 points
gmays
5 months ago
discuss
945.
▲
Show HN: headson - structure‑aware head/tail for JSON/YAML and source code
(github.com/kantord)
3 points
kantord
6 months ago
discuss
946.
▲
Help Ukraine by attacking Russian web sites. Good load testing training
(gist.github.com)
3 points
doener
6 months ago
discuss
947.
▲
Show HN: Convert Figma designs to Tailwind CSS with MCP [MIT License]
(github.com/themesberg)
3 points
elwingo1
6 months ago
discuss
948.
▲
Unsloth – Train LLMs 2x faster with 70% less VRAM
(github.com/unslothai)
3 points
jhack
6 months ago
discuss
949.
▲
Open source x 3: GRPO training with OpenEnv, vLLM, and Oumi
(github.com/oumi-ai)
3 points
stefanwebb
7 months ago
discuss
950.
▲
Show HN: Distributed Storage System to 8x LLM Inference, GPU Training Efficiency
(github.com/blackbird-io)
3 points
hackerpanda123
8 months ago
discuss
951.
▲
An MNIST neural net implemented and trained in x86 assembly
(github.com/mohammad-ghaderi)
3 points
Hadi7546
8 months ago
discuss
952.
▲
Ionscale: A lightweight implementation of a Tailscale control server
(github.com/jsiebens)
3 points
elashri
9 months ago
discuss
953.
▲
MatrixTransformer: Structural Pattern Discovery Without Training
3 points
AyodeleFikayomi
a year ago
discuss
954.
▲
Phoenix application, directly on your Tailnet
(gist.github.com)
3 points
todsacerdoti
a year ago
discuss
955.
▲
Show HN: Expose any web application to your Tailscale Tailnet
(github.com/shayne)
3 points
pcpuser
a year ago
discuss
956.
▲
Simple GPT in pure Go, trained on Jules Verne books
(github.com/zakirullin)
3 points
kombucha255
a year ago
discuss
957.
▲
Train an LLM from Scratch in a Single Python Notebook
(github.com/kevinpdev)
3 points
kevinpdev
a year ago
discuss
958.
▲
Elixir Bumblebee: Pre-Trained Neural Network Models in Axon
(github.com/elixir-nx)
3 points
tosh
a year ago
discuss
959.
▲
Stretching Each Dollar: Diffusion Training from Scratch on a Micro-Budget
(github.com/SonyResearch)
3 points
tylergem
a year ago
discuss
960.
▲
t-a-i: Converts Unix Milliseconds to and from International Atomic Time (TAI)
(github.com/qntm)
3 points
FiloSottile
a year ago
discuss
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