User contributions for Lucasn1
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12 February 2024
- 21:0821:08, 12 February 2024 diff hist +11 m Dask →Single Node current
17 January 2024
- 15:4015:40, 17 January 2024 diff hist 0 m Huggingface →Multi-GPU & multi-node jobs with Accelerate current
18 October 2023
- 15:1315:13, 18 October 2023 diff hist +18 m PyTorch No edit summary
3 October 2023
- 18:2218:22, 3 October 2023 diff hist +532 TensorFlow No edit summary
22 September 2023
- 18:1118:11, 22 September 2023 diff hist +1 m Dask No edit summary
19 September 2023
- 15:1715:17, 19 September 2023 diff hist +13 m Dask No edit summary
5 July 2023
- 19:0819:08, 5 July 2023 diff hist −14 m PyTorch No edit summary
- 19:0619:06, 5 July 2023 diff hist −7 m PyTorch No edit summary
- 19:0319:03, 5 July 2023 diff hist −578 m PyTorch No edit summary
- 18:5918:59, 5 July 2023 diff hist 0 m PyTorch No edit summary
- 18:5918:59, 5 July 2023 diff hist 0 m PyTorch No edit summary
- 18:5818:58, 5 July 2023 diff hist −304 m PyTorch No edit summary
- 18:5218:52, 5 July 2023 diff hist −480 m PyTorch No edit summary
26 June 2023
- 15:3215:32, 26 June 2023 diff hist +376 m PyTorch No edit summary
22 June 2023
- 18:0918:09, 22 June 2023 diff hist +91 Weights & Biases (wandb) No edit summary
2 June 2023
- 20:2420:24, 2 June 2023 diff hist +4 m Dask No edit summary
- 20:1220:12, 2 June 2023 diff hist −1 Dask →Multiple Nodes
- 20:0420:04, 2 June 2023 diff hist +5,379 N Dask Created page with "[https://docs.dask.org/en/stable/ Dask] is a flexible library for parallel computing in Python. It provides parallelized NumPy array and Pandas DataFrame objects, and it enables distributed computing in pure Python with access to the PyData stack. ==Installing our wheel== <!--T:15--> The preferred option is to install it using our provided Python [https://pythonwheels.com/ wheel] as follows: :1. Load a Python module, thus <..."
26 May 2023
- 13:0213:02, 26 May 2023 diff hist −5 m Deepspeed →Multi-GPU and multi-node jobs with Deepspeed current
- 13:0113:01, 26 May 2023 diff hist −1 m Deepspeed →Multi-GPU and multi-node jobs with Deepspeed
25 May 2023
- 18:4118:41, 25 May 2023 diff hist +160 m Deepspeed →Multi-GPU and multi-node jobs with Deepspeed
- 18:3918:39, 25 May 2023 diff hist −9 m Deepspeed →Multi-GPU and multi-node jobs with Deepspeed
- 18:1618:16, 25 May 2023 diff hist −53 m Deepspeed →Multi-GPU and multi-node jobs with Deepspeed
- 18:1518:15, 25 May 2023 diff hist +23 m Deepspeed →Multi-GPU and multi-node jobs with Deepspeed
- 18:1418:14, 25 May 2023 diff hist −33 Deepspeed →Multi-GPU and multi-node jobs with Deepspeed
- 18:0518:05, 25 May 2023 diff hist −38 m Deepspeed →Multi-GPU and multi-node jobs with Deepspeed
- 17:3417:34, 25 May 2023 diff hist −204 m Deepspeed →Multi-GPU and multi-node jobs with Deepspeed
- 15:5515:55, 25 May 2023 diff hist +7,809 N Deepspeed Created page with "DeepSpeed is a deep learning training optimization library, providing the means to train massive billion parameter models at scale. Fully compatible with PyTorch, DeepSpeed features implementations of novel memory-efficient distributed training methods, based on the Zero Redundancy Optimizer (ZeRO) concept. Through the use of ZeRO, DeepSpeed enables distributed storage and computing of different elements of a training task - such as optimizer states, model weights, model..."
- 15:3215:32, 25 May 2023 diff hist +547 Huggingface →Accelerate
- 15:1715:17, 25 May 2023 diff hist +4,751 Huggingface No edit summary
23 May 2023
- 18:4718:47, 23 May 2023 diff hist +226 Huggingface No edit summary
- 16:1316:13, 23 May 2023 diff hist −33 m Huggingface →Downloading Datasets
- 16:0816:08, 23 May 2023 diff hist −1 m Huggingface →Downloading Datasets
- 16:0716:07, 23 May 2023 diff hist +146 Huggingface →Downloading Datasets
- 16:0516:05, 23 May 2023 diff hist +3,172 Huggingface No edit summary
- 13:4913:49, 23 May 2023 diff hist +4 Huggingface No edit summary
- 13:4813:48, 23 May 2023 diff hist +6 m Huggingface →Using git lfs
- 13:4713:47, 23 May 2023 diff hist +3,480 N Huggingface Created page with "[http://huggingface.co Hugging Face] is an organization that builds and maintains several popular open-source software packages widely used in Artificial Intelligence research. In this article, you will find information and tutorials on how to use packages from the Hugging Face ecosystem on our clusters. =Transformers= Transformers is a python package that provides APIs and tools to easily download and train state-of-the-art pre-trained models on various tasks in multi..."
18 May 2023
- 15:0415:04, 18 May 2023 diff hist −8 m PyTorch No edit summary
- 15:0415:04, 18 May 2023 diff hist +5 m PyTorch No edit summary
- 15:0315:03, 18 May 2023 diff hist −2 m PyTorch No edit summary
- 15:0315:03, 18 May 2023 diff hist −337 PyTorch No edit summary
13 March 2023
- 12:2212:22, 13 March 2023 diff hist +115 m Ray →Hyperparameter search with Ray Tune current
11 March 2023
- 00:2700:27, 11 March 2023 diff hist −10 m Ray →Hyperparameter search with Ray Tune
- 00:2500:25, 11 March 2023 diff hist +4 m Ray →Hyperparameter search with Ray Tune
- 00:2400:24, 11 March 2023 diff hist +6,056 Ray No edit summary
23 February 2023
- 20:3920:39, 23 February 2023 diff hist −1 m Ray →Multiple Nodes
- 20:3820:38, 23 February 2023 diff hist −8 m Ray →Multiple Nodes
- 20:3720:37, 23 February 2023 diff hist +61 m Ray →Multiple Nodes
- 20:3120:31, 23 February 2023 diff hist +26 m Ray →Multiple Nodes