Gaspard

gaspardthrl

5 9

AI & ML interests

Generative AI / Time Series Forecasting / Natural Language Processing / Natural Language Understanding

Organizations

None yet

Collections 4

View 4 collections

models 18

datasets 36

gaspardthrl/walleed_fold_combined_with_vincent_random

SO-101 • Updated May 20 • 721 episodes • 20

gaspardthrl/walleed_teleop_vincent_random_v2

SO-101 • Updated May 20 • 29 episodes • 24

gaspardthrl/walleed_teleop_vincent_random

SO-101 • Updated May 19 • 30 episodes • 23

gaspardthrl/walleed_teleop_vincent_random_20260519_185202

SO-101 • Updated May 19 • 10 episodes • 18

gaspardthrl/rollout_hil_dataset_gus_2_20260518_171251

SO-101 • Updated May 18 • 20 episodes • 22

gaspardthrl/rollout_hil_dataset_gus_20260518_165001

SO-101 • Updated May 18 • 5 episodes • 29

gaspardthrl/rollout_hil_dataset_gus_20260518_160728

SO-101 • Updated May 18 • 1 episodes • 29

gaspardthrl/rollout_hil_dataset_gus_20260518_160354

SO-101 • Updated May 18 • 1 episodes • 23

gaspardthrl/rollout_hil_dataset_gus_20260518_155305

SO-101 • Updated May 18 • 1 episodes • 20

gaspardthrl/walleed_hg_double_fold_clean

SO-101 • Updated May 17 • 288 episodes • 18

View 36 datasets

Gaspard

AI & ML interests

Organizations

Collections 4

A Survey on Efficient Inference for Large Language Models

Atom: Low-bit Quantization for Efficient and Accurate LLM Serving

Reducing Activation Recomputation in Large Transformer Models

Searching for Best Practices in Retrieval-Augmented Generation

Retrieval-Augmented Generation for Large Language Models: A Survey

The Impact of Quantization on Retrieval-Augmented Generation: An Analysis of Small LLMs

A Survey on Efficient Inference for Large Language Models

Atom: Low-bit Quantization for Efficient and Accurate LLM Serving

Reducing Activation Recomputation in Large Transformer Models

Searching for Best Practices in Retrieval-Augmented Generation

Retrieval-Augmented Generation for Large Language Models: A Survey

The Impact of Quantization on Retrieval-Augmented Generation: An Analysis of Small LLMs

models 18

gaspardthrl/diffusion-resnet-merged

gaspardthrl/diffusion-resnet-merged-generalised

gaspardthrl/walleed-diffusion-A5

gaspardthrl/diffusion-A3-cls

gaspardthrl/walleed-diffusion-A1

gaspardthrl/walleed-diffusion-A4

gaspardthrl/walleed-diffusion-A3

gaspardthrl/walleed-diffusion-A2

gaspardthrl/walleed-subtask-cls

gaspardthrl/walleed_dit_fm_absolute_temporal

datasets 36

gaspardthrl/walleed_fold_combined_with_vincent_random

gaspardthrl/walleed_teleop_vincent_random_v2

gaspardthrl/walleed_teleop_vincent_random

gaspardthrl/walleed_teleop_vincent_random_20260519_185202

gaspardthrl/rollout_hil_dataset_gus_2_20260518_171251

gaspardthrl/rollout_hil_dataset_gus_20260518_165001

gaspardthrl/rollout_hil_dataset_gus_20260518_160728

gaspardthrl/rollout_hil_dataset_gus_20260518_160354

gaspardthrl/rollout_hil_dataset_gus_20260518_155305

gaspardthrl/walleed_hg_double_fold_clean

Gaspard

AI & ML interests

Organizations

Collections 4

models 18 Sort: Recently updated

datasets 36 Sort: Recently updated

models 18

datasets 36