kvignesh1420

kvignesh1420's Stars

• karpathy/llm.c

  LLM training in simple, raw C/CUDA

  Language:Cuda25k2521412.8k

• unslothai/unsloth

  Finetune Llama 3.3, Mistral, Phi, Qwen 2.5 & Gemma LLMs 2-5x faster with 70% less memory

  Language:Python20.2k1351.2k1.4k

• karpathy/llama2.c

  Inference Llama 2 in one file of pure C

  Language:C17.8k1902242.1k

• Dao-AILab/flash-attention

  Fast and memory-efficient exact attention

  Language:Python15k1231.2k1.4k

• dmlc/dgl

  Python package built to ease deep learning on graph, on top of existing DL frameworks.

  Language:Python13.6k1762.8k3k

• flyteorg/flyte

  Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.

  Language:Go5.9k2583.3k674

• paperswithcode/ai-deadlines

  :alarm_clock: AI conference deadline countdowns

  Language:JavaScript5.7k9896992

• naganandy/graph-based-deep-learning-literature

  links to conference publications in graph-based deep learning

  Language:Jupyter Notebook4.9k25214781

• linkedin/Liger-Kernel

  Efficient Triton Kernels for LLM Training

  Language:Python4.1k43147239

• NVIDIA/nccl

  Optimized primitives for collective multi-GPU communication

  Language:C++3.4k1531.4k846

• tomgoldstein/loss-landscape

  Code for visualizing the loss landscape of neural nets

  Language:Python2.9k3342406

• graphdeeplearning/benchmarking-gnns

  Repository for benchmarking graph neural networks

  Language:Jupyter Notebook2.5k6069453

• snap-stanford/ogb

  Benchmark datasets, data loaders, and evaluators for graph machine learning

  Language:Python2k42299403

• ml-jku/hopfield-layers

  Hopfield Networks is All You Need

  Language:Python1.8k4421195

• ChandlerBang/awesome-self-supervised-gnn

  Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).

  Language:Python1.6k553163

• PyGCL/PyGCL

  PyGCL: A PyTorch Library for Graph Contrastive Learning

  Language:Python91084796

• rfeinman/pytorch-minimize

  Newton and Quasi-Newton optimization with PyTorch

  Language:Python32793036

• facebookresearch/HolisticTraceAnalysis

  A library to analyze PyTorch traces.

  Language:Python319185845

• MinghuiChen43/awesome-deep-phenomena

  A curated list of papers of interesting empirical study and insight on deep learning. Continually updating...

  28025112

• dtsip/in-context-learning

  Language:Jupyter Notebook2104248

• doujiang-zheng/Graph-Learning-Reading-List

  Advances on machine learning of graphs, covering the reading list of recent top academic conferences.

  Language:Jupyter Notebook1712017

• zhengdao-chen/GNN4CD

  Supervised community detection with line graph neural networks

  Language:Python894920

• XiaoxinHe/neurips2023_learning_on_graphs

  List of papers on NeurIPS2023

  Language:Python88202

• XiaoxinHe/icml2023_learning_on_graphs

  List of papers on ICML2023.

  Language:Python55202

• tding1/Neural-Collapse

  [NeurIPS 2021] A Geometric Analysis of Neural Collapse with Unconstrained Features

  Language:Python53328

• tirer-lab/DDPG

  Language:Python43323

• oliverhu/rama

  llama2 inference engine in Rust

  Language:Rust12216

• tomtirer/IDBP-CNN-IA

  Super-Resolution via Image-Adapted Denoising CNNs: Incorporating External and Internal Learning

  Language:MATLAB6201

• vburca/Senior-Project

  Computer Science Senior Project (2013-2014)

  Language:Python3304

• tomtirer/ResNet-NTK

  Kernel-Based Smoothness Analysis of Residual Networks

  Language:Python1201