Pinned Repositories
Pure-Region-Sampling
AdvancePyTorchGeometricTutorials
here you can find the material used for our Tutorials
annotated_deep_learning_paper_implementations
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
ast_aware_tokenization
workings and files for creation process of ast_aware_tokenization
convHw
CudaMode-Lectures
Material for cuda-mode lectures
CudaParallel
trying and learning various Cuda codes
deep-codegen
forked for future cuda kernel implementations
Dlc-ee_559-hws
just same self learning
efficient-dl-systems
Efficient Deep Learning Systems course materials (HSE, YSDA)
Arnab9Codes's Repositories
Arnab9Codes/FlexGenTensorParallel
Running large language models on a single GPU for throughput-oriented scenarios.
Arnab9Codes/TensorParallelConcept
Arnab9Codes/CudaMode-Lectures
Material for cuda-mode lectures
Arnab9Codes/uvadlc_notebooks
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
Arnab9Codes/HPC_VAE
Arnab9Codes/ml-engineering
Machine Learning Engineering Open Book
Arnab9Codes/convHw
Arnab9Codes/annotated_deep_learning_paper_implementations
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Arnab9Codes/efficient-dl-systems
Efficient Deep Learning Systems course materials (HSE, YSDA)
Arnab9Codes/SimCLR_modified_Encoder
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
Arnab9Codes/deep-codegen
forked for future cuda kernel implementations
Arnab9Codes/lenetManual
Arnab9Codes/CudaParallel
trying and learning various Cuda codes
Arnab9Codes/gitlearning
Arnab9Codes/ast_aware_tokenization
workings and files for creation process of ast_aware_tokenization
Arnab9Codes/TC-GNN_ATC23
Artifact for USENIX ATC'23: TC-GNN: Bridging Sparse GNN Computation and Dense Tensor Cores on GPUs.
Arnab9Codes/SeaMaster
Arnab9Codes/feasilbleAstTokenizerjavaClone
checks the feasibility of ast embedding in java
Arnab9Codes/prof-homework
Arnab9Codes/HomeWork
Arnab9Codes/PytorchGeometricTutorial
Pytorch Geometric Tutorials
Arnab9Codes/Pd-Speech-Work
Arnab9Codes/Oversampling-in-Pure-Regions-Using-Decsion-Tree-
Arnab9Codes/Pure-Region-Sampling
Arnab9Codes/LSTM-based-oversampling
Arnab9Codes/Leetcode-solutions
Arnab9Codes/Pd-Paper-with-Selected-Data
Most updated I guess
Arnab9Codes/AdvancePyTorchGeometricTutorials
here you can find the material used for our Tutorials
Arnab9Codes/PD
PD classification
Arnab9Codes/PaperWorks-PD