Pinned Repositories
audioset-convnext-inf
Adapting a ConvNeXt model to audio classification on AudioSet
augmentation-corruption
This repository provides code for "On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness".
chat-task-2024-data
Data for WMT 2024 Chat Shared Task
ChebyKAN
Kolmogorov-Arnold Networks (KAN) using Chebyshev polynomials instead of B-splines.
convmixer
ConvNeXt
Code release for ConvNeXt model
ConvNeXt-audio
Adapting a ConvNeXt model to audio classification on AudioSet
ConvNeXt-dcls
DCLS-Audio
Dilated-Convolution-with-Learnable-Spacings-PyTorch
[ICLR 2023] "Dilated convolution with learnable spacings" Ismail Khalfaoui Hassani, Thomas Pellegrini and Timothée Masquelier
K-H-Ismail's Repositories
K-H-Ismail/Dilated-Convolution-with-Learnable-Spacings-PyTorch
[ICLR 2023] "Dilated convolution with learnable spacings" Ismail Khalfaoui Hassani, Thomas Pellegrini and Timothée Masquelier
K-H-Ismail/DCLS-Audio
K-H-Ismail/ConvNeXt-dcls
K-H-Ismail/audioset-convnext-inf
Adapting a ConvNeXt model to audio classification on AudioSet
K-H-Ismail/chat-task-2024-data
Data for WMT 2024 Chat Shared Task
K-H-Ismail/ChebyKAN
Kolmogorov-Arnold Networks (KAN) using Chebyshev polynomials instead of B-splines.
K-H-Ismail/convmixer
K-H-Ismail/ConvNeXt
Code release for ConvNeXt model
K-H-Ismail/ConvNeXt-audio
Adapting a ConvNeXt model to audio classification on AudioSet
K-H-Ismail/group-normalization.pytorch
An implementation of Group Normalization in PyTorch
K-H-Ismail/ImageNet-Sketch
ImageNet-Sketch data set for evaluating model's ability in learning (out-of-domain) semantics at ImageNet scale
K-H-Ismail/InternImage
K-H-Ismail/kat
Kolmogorov-Arnold Transformer: A PyTorch Implementation with CUDA kernel
K-H-Ismail/mmsegmentation
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
K-H-Ismail/nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
K-H-Ismail/nougat
Implementation of Nougat Neural Optical Understanding for Academic Documents
K-H-Ismail/ParCNetV2
Official implementation of ParCNetV2
K-H-Ismail/pykan
Kolmogorov Arnold Networks
K-H-Ismail/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
K-H-Ismail/pytorch-benchmark
Easily benchmark PyTorch model FLOPs, latency, throughput, allocated gpu memory and energy consumption
K-H-Ismail/pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
K-H-Ismail/pytorch-lightning
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
K-H-Ismail/rational_kat_cu
K-H-Ismail/robustness
Corruption and Perturbation Robustness (ICLR 2019)
K-H-Ismail/SLaK
"More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity", Shiwei Liu, Tianlong Chen, Xiaohan Chen, Xuxi Chen, Qiao Xiao, Boqian Wu, Mykola Pechenizkiy, Decebal Constantin Mocanu, Zhangyang Wang
K-H-Ismail/SNN-delays
K-H-Ismail/snn-lip-reading
K-H-Ismail/spikingjelly
SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.
K-H-Ismail/Swin-Transformer-Object-Detection
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Object Detection and Instance Segmentation.
K-H-Ismail/vision
Datasets, Transforms and Models specific to Computer Vision