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Top New Best Ask Show Jobs

Top New Best Ask Show Jobs

241.

Show HN: Train and deploy your own open-source humanoid in Python

github.com/kscalelabs

a year ago

30 points

242.

Microsoft has open sourced their Front end Bootcamp training materials

github.com/Microsoft

7 years ago

29 points

243.

Munich train departures CLI app written in Rust

github.com/FaisalBinAhmed

3 years ago

29 points

244.

PyTorch 1.7 Released with CUDA 11, New APIs for FFTs, Win Distributed Training

github.com/pytorch

6 years ago

29 points

245.

Show HN: Stable Diffusion training, inpainting, classifier guidance and upscale

github.com/Jack000

4 years ago

29 points

246.

Hierarchical Reasoning Model – 1k training samples SoTA reasoning v/s CoT

github.com/sapientinc

a year ago

26 points

247.

Show HN: MyGPT a toy LLM which can be trained on Project Gutenberg and dad jokes

github.com/jhud

3 years ago

25 points

248.

DeepSpeed Chat: Easy, Fast and Affordable RLHF Training of ChatGPT-Like Models

github.com/microsoft

3 years ago

25 points

249.

OpenSora Releases its first trained checkpoints (2-5 SEC, 512x512 T2V)

github.com/hpcaitech

2 years ago

24 points

250.

RustTraining: Beginner, advanced, expert level Rust training material

github.com/microsoft

3 months ago

24 points

251.

Show HN: I Trained a 2D Game Animation Generation Model(Fully Open-Source)

github.com/lyogavin

2 years ago

23 points

252.

Show HN: Per-instance TSP Solver with No Pre-training (1.66% gap on d1291)

6 months ago

21 points

253.

Composer: A new PyTorch library to train models 4x faster with better algorithms

github.com/mosaicml

4 years ago

21 points

254.

A snake game controlled by neural network and trained by genetic algorithm

github.com/mraythree

10 years ago

19 points

255.

Show HN: Autodistill – Use big slow foundation models to train small fast models

github.com/autodistill

3 years ago

18 points

256.

Tune PaLM 2 with your own RLHF training data

github.com/GoogleCloudPlatform

3 years ago

17 points

257.

RBM trained with persistent states, written from scratch in Julia

github.com/jostmey

10 years ago

17 points

258.

Show HN: Graphsignal – ML profiler to speed up training and inference

github.com/graphsignal

4 years ago

16 points

259.

RDMA-Powered Distributed Cache for Fast AI Training and Inference

github.com/blackbird-io

9 months ago

16 points

260.

Show HN: Script to download Tweets into a format ideal for training an AI model

github.com/minimaxir

6 years ago

16 points

261.

Show HN: RAGatouille, a simple lib to use&train top retrieval models in RAG apps

github.com/bclavie

2 years ago

15 points

262.

Liger-Kernel: Efficient Triton kernels for LLM training

github.com/linkedin

2 years ago

15 points

263.

Ask HN: Are you training and running custom LLMs and how are you doing it?

3 years ago

15 points

264.

Show HN: Beating Hinton et al.'s capsule net with fewer params and less training

7 years ago

14 points

265.

Show HN: I trained a chess engine to play like humans

a month ago

14 points

266.

DataDreamer: Prompt. Generate Synthetic Data. Train & Align Models.

github.com/datadreamer-dev

2 years ago

14 points

267.

A LLM trained only on data from certain time periods to reduce modern bias

github.com/haykgrigo3

6 months ago

13 points

268.

Show HN: An RDMA/Infiniband Distributed Cache for Fast Inference and Training

github.com/blackbird-io

9 months ago

13 points

269.

SagemakerDebugger – Tool to peek inside deep learning/xgboost models training

github.com/awslabs

7 years ago

13 points

270.

Scalable Pre-Training of Large Autoregressive Image Models (Aim by Apple)

github.com/apple

2 years ago

12 points