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571.
▲
Understanding R1-Zero-Like Training: A Critical Perspective
(github.com/sail-sg)
160 points
pama
a year ago
21 comments
572.
▲
Forth implemented in Rust trait system
(github.com/Ashymad)
157 points
Ashymad
6 years ago
84 comments
573.
▲
Train CIFAR10 to 94% in under 10 seconds on a single A100
(github.com/tysam-code)
151 points
tysam_and
3 years ago
50 comments
574.
▲
Show HN: Streamdal – an open-source tail -f for your data
(github.com/streamdal)
148 points
dsies
3 years ago
37 comments
575.
▲
Paper Tape Is All You Need – Training a Transformer on a 1976 Minicomputer
(github.com/dbrll)
145 points
rahen
2 months ago
26 comments
576.
▲
Extreme video compression with prediction using pre-trainded diffusion models
(github.com/ElesionKyrie)
144 points
john_g
2 years ago
88 comments
577.
▲
01-AI/Yi: A series of large language models trained from scratch
(github.com/01-ai)
143 points
simonpure
3 years ago
52 comments
578.
▲
Open-Llama: Complete training pipeline for building large language models
(github.com/s-JoL)
141 points
bayes-song
3 years ago
12 comments
579.
▲
Ask HN: Has Anyone Trained a personal LLM using their personal notes?
138 points
Erazal
2 years ago
69 comments
580.
▲
Using OpenAI Gym to train an open-source 3D printed robot
(github.com/nicrusso7)
135 points
nicrusso7
6 years ago
26 comments
581.
▲
Diffusion training from scratch on a micro-budget
(github.com/SonyResearch)
135 points
lnyan
a year ago
23 comments
582.
▲
YaFSDP: a sharded data parallelism framework, faster for pre-training LLMs
(github.com/yandex)
135 points
wiradikusuma
2 years ago
16 comments
583.
▲
Schedule-Free Learning – A New Way to Train
(github.com/facebookresearch)
131 points
ironbound
2 years ago
43 comments
584.
▲
TScale – Distributed training on consumer GPUs
(github.com/Foreseerr)
130 points
zX41ZdbW
a year ago
27 comments
585.
▲
TensorFlow Code for Google Research's BERT: Pre-Training Method for NLP Tasks
(github.com/google-research)
129 points
ArtWomb
8 years ago
13 comments
586.
▲
Show HN: Set of trained deep learning models for computer vision
(github.com/fchollet)
127 points
fchollet
10 years ago
15 comments
587.
▲
Show HN: Terminal-Bench-RL: Training long-horizon terminal agents with RL
(github.com/Danau5tin)
125 points
Danau5tin
10 months ago
12 comments
588.
▲
Show HN: Python decorator that enables arbitrarily-deep tail/non-tail recursion
(github.com/tylerhou)
119 points
tylerhou
4 years ago
21 comments
589.
▲
Tail-call optimization added to 6to5 compiler
(github.com/6to5)
117 points
insertion
11 years ago
31 comments
590.
▲
Training open-source LLMs on ChatGPT output is a really bad idea.
(gist.github.com)
114 points
laprise
3 years ago
76 comments
591.
▲
NanoGPT: The simplest, fastest repository for training medium-sized GPTs
(github.com/karpathy)
114 points
ulrischa
2 years ago
21 comments
592.
▲
How to Train and Build a Conversational News Chatbot
(github.com/tzano)
108 points
tzano
8 years ago
8 comments
593.
▲
List of European train stations and associated metadata
(github.com/capitainetrain)
107 points
thibaut_barrere
11 years ago
55 comments
594.
▲
Show HN: Ts-SSH – SSH over Tailscale without running the daemon
(github.com/derekg)
103 points
i8code
a year ago
37 comments
595.
▲
Driving dataset for car autopilot AI training
(github.com/commaai)
100 points
EvgeniyZh
10 years ago
44 comments
596.
▲
Horovod: Distributed Training Framework for TensorFlow, Keras, and PyTorch
(github.com/uber)
100 points
axiomdata316
8 years ago
9 comments
597.
▲
Agent Lightning: Train agents with RL (no code changes needed)
(github.com/microsoft)
98 points
bakigul
7 months ago
14 comments
598.
▲
Show HN: Tacopy – Tail Call Optimization for Python
(github.com/raaidrt)
95 points
raaid-rt
6 months ago
54 comments
599.
▲
Show HN: less than 650 LOC trainable GPT only using NumPy
(github.com/joennlae)
90 points
joennlae
3 years ago
18 comments
600.
▲
Show HN: Wanderer – an open-source trail database
(github.com/Flomp)
89 points
get_flomped
2 years ago
13 comments
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