Submitted by Rodolflying t3_121vgdm in coolgithubprojects
history with GPT_Scraper - the tool that makes scraping a breeze! This is the github repo: https://github.com/rodolflying/GPT_scraper And medium article also: https://link.medium.com/XtNWuJIFsyb Three Main tools: 1) save all your chatgpt history
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Submitted by Techno_Logic-al t3_ybyxf2 in Futurology
Bio-inspired design is a thing of the future. This new outlook could change the
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Submitted by pommedeterresautee t3_ydqmjp in MachineLearning
releasing [Kernl](https://github.com/ELS-RD/kernl/) under Apache 2 license, a library to make PyTorch models inference significantly faster. With 1 line of code we applied the optimizations and made Bert up to 12X faster than ... wrote custom GPU kernels with the new OpenAI programming language Triton and leveraged TorchDynamo. **Project link**: [https://github.com/ELS-RD/kernl/](https://github.com/ELS-RD/kernl/) **E2E demo notebooks**: [XNLI classification](https://github.com/ELS-RD/kernl/blob/main/tutorial/bert%20e2e.ipynb), [T5 generation](https://github.com/ELS-RD/kernl/blob/main/tutorial/t5%20e2e.ipynb) [Benchmarks ... cores Intel CPU, more info below](https://preview.redd.it/mlo3wvn0d3w91.png?width=2738&format=png&auto=webp&s=1b9dce736ee4c0e371b54b9ef796310f9728660d) On long sequence length inputs, [Kernl](https://github.com/ELS-RD/kernl/) is most of the time the fastest inference engine, and close to Nvidia TensorRT on shortest ones
Submitted by Technical-Vast1314 t3_y3oukb in MachineLearning
that provides state-of-the-art Transformer-based object detection algorithms. Here's the github links: https://github.com/IDEA-Research/detrex detrex was built on [detectron2](https://github.com/facebookresearch/detectron2) and we used the powerful LazyConfig system ... Dinosaur. ## Overview of Model Zoo detrex has already implemented the following algorithms: - [DETR (ECCV'2020)](https://github.com/IDEA-Research/detrex/tree/main/projects/detr) - [Deformable-DETR (ICLR'2021 Oral)](https://github.com/IDEA-Research/detrex/tree/main/projects/deformable_detr) - [Conditional-DETR (ICCV'2021)](https://github.com/IDEA-Research/detrex/tree/main/projects/conditional_detr) - [DAB-DETR ... ICLR'2022)](https://github.com/IDEA-Research/detrex/tree/main/projects/dab_detr) - [DAB-Deformable-DETR (ICLR'2022)](https://github.com/IDEA-Research/detrex/tree/main/projects/dab_deformable_detr) - [DN-DETR (CVPR'2022 Oral)](https://github.com/IDEA-Research/detrex/tree/main/projects/dn_detr) - [DN-Deformable-DETR (CVPR'2022 Oral)](https://github.com/IDEA-Research/detrex/tree/main/projects/dn_deformable_detr) - [DINO (ArXiv'2022)](https://github.com
DigThatData t1_iu4rr8y wrote
Reply to [D] DL Practitioners, Do You Use Layer Visualization Tools s.a GradCam in Your Process? by DisWastingMyTime
projects I think are interesting, regardless of whether or not I use them myself: * https://github.com/f-dangel/cockpit * https://github.com/f-dangel/backpack * https://github.com/f-dangel/vivit * https://github.com/DistrictDataLabs/yellowbrick * https://github.com/tomgoldstein/loss-landscape * https://github.com/hila-chefer/Transformer-MM-Explainability * https://github.com/pytorch/captum ... github.com/cleverhans-lab/cleverhans * https://github.com/TorchDrift/TorchDrift * https://github.com/MAIF/shapash * https://github.com/uncertainty-toolbox/uncertainty-toolbox * https://github.com/ropas/pytea * https://github.com/oegedijk/explainerdashboard * https://github.com/deepchecks/deepchecks * https://github.com/Trusted-AI/AIX360 * https://github.com/delve-team/delve * https://github.com/CalculatedContent/WeightWatcher * https://github.com/archinetai/surgeon-pytorch * https://github.com/xl0/lovely-tensors