ayushchakravarthy

ayushchakravarthy's Stars

• karpathy/nanoGPT

  The simplest, fastest repository for training/finetuning medium-sized GPTs.

  Language:Python37.2k3763185.9k

• openai/CLIP

  CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

  Language:Jupyter Notebook25.8k3234023.3k

• salesforce/LAVIS

  LAVIS - A One-stop Library for Language-Vision Intelligence

  Language:Jupyter Notebook9.9k99665971

• thu-ml/tianshou

  An elegant PyTorch deep reinforcement learning library.

  Language:Python7.9k927461.1k

• adam-maj/tiny-gpu

  A minimal GPU design in Verilog to learn how GPUs work from the ground up

  Language:SystemVerilog7.1k6724533

• EleutherAI/gpt-neox

  An implementation of model parallel autoregressive transformers on GPUs, based on the Megatron and DeepSpeed libraries

  Language:Python6.9k1244391k

• facebookresearch/ijepa

  Official codebase for I-JEPA, the Image-based Joint-Embedding Predictive Architecture. First outlined in the CVPR paper, "Self-supervised learning from images with a joint-embedding predictive architecture."

  Language:Python2.8k5958357

• One-2-3-45/One-2-3-45

  [NeurIPS 2023] Official code of "One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape Optimization"

  Language:Python1.6k725488

• tysam-code/hlb-CIFAR10

  Train to 94% on CIFAR-10 in <6.3 seconds on a single A100. Or ~95.79% in ~110 seconds (or less!)

  Language:Python1.2k19375

• NVlabs/BundleSDF

  [CVPR 2023] BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects

  Language:Python1.1k16169116

• ezelikman/quiet-star

  Code for Quiet-STaR

  Language:Python639121288

• dome272/MaskGIT-pytorch

  Pytorch implementation of MaskGIT: Masked Generative Image Transformer (https://arxiv.org/pdf/2202.04200.pdf)

  Language:Python410151835

• ContextualAI/lens

  This is the official repository for the LENS (Large Language Models Enhanced to See) system.

  Language:Jupyter Notebook3519312

• huangwl18/language-planner

  Official Code for "Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents"

  Language:Jupyter Notebook2554831

• mertyg/vision-language-models-are-bows

  Experiments and data for the paper "When and why vision-language models behave like bags-of-words, and what to do about it?" Oral @ ICLR 2023

  Language:Python24983715

• brendenlake/SCAN

  Simple language-driven navigation tasks for studying compositional learning

  18510226

• brendenlake/MLC

  Meta-Learning for Compositionality (MLC) for modeling human behavior

  Language:Python1385118

• pairlab/SlotFormer

  Code release for ICLR 2023 paper: SlotFormer on object-centric dynamics models

  Language:Python984719

• kanishkg/stream-of-search

  Repository for the paper Stream of Search: Learning to Search in Language

  Language:Python831711

• singhgautam/slate

  This is the official source code for SLATE. We provide the code for the model, the training code, and a dataset loader for the 3D Shapes dataset. This code is implemented in Pytorch.

  Language:Python821411

• addtt/object-centric-library

  Library for the training and evaluation of object-centric models (ICML 2022)

  Language:Python65344

• i-machine-think/am-i-compositional

  Language:Python62918

• najoungkim/COGS

  Language:Python571213

• karazijal/clevrtex-generation

  Language:Python39233

• singhgautam/sysbinder

  Official Code for Neural Systematic Binder

  Language:Python28122

• benpry/why-think-step-by-step

  Code and data for the paper "Why think step by step? Reasoning emerges from the locality of experience"

  Language:Python17201

• karazijal/clevrtex

  ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object Segmentation

  Language:Python8101

• Gem5Vision/gem5-resources-website

  Website for gem5 vision

  Language:JavaScript51541

• rigved-sanku/3D-Scene-Reconstruction-via-Structure-from-Motion-SfM

  Led the development of a Structure from Motion (SfM) pipeline for 3D scene reconstruction from 2D images at Unity Hall, employing SIFT with RANSAC for robust feature detection and optimizing Essential Matrix calculation via SVD.

  Language:Python21

• rigved-sanku/NeRF-Implementation-for-Efficient-3D-Scene-Reconstruction

  Led the development of an optimized Neural Radiance Fields (NeRF) implementation for 3D scene reconstruction, focusing on synthesizing novel views from sparse 2D images using advanced deep learning techniques.

  Language:Python21