NikhilSKashyap

NikhilSKashyap's Stars

• CompVis/stable-diffusion

  A latent text-to-image diffusion model

  Language:Jupyter Notebook68.9k56371710.2k

• Textualize/rich

  Rich is a Python library for rich text and beautiful formatting in the terminal.

  Language:Python50.1k5381.4k1.8k

• google-research/google-research

  Google Research

  Language:Jupyter Notebook34.6k7551.3k8k

• slundberg/shap

  A game theoretic approach to explain the output of any machine learning model.

  Language:Jupyter Notebook19.7k2532.3k3k

• NVlabs/instant-ngp

  Instant neural graphics primitives: lightning fast NeRF and more

  Language:Cuda16.1k2041k1.9k

• karpathy/nn-zero-to-hero

  Neural Networks: Zero to Hero

  Language:Jupyter Notebook12.4k289341.6k

• khangich/machine-learning-interview

  Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

  10k22341.6k

• firmai/industry-machine-learning

  A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

  Language:Jupyter Notebook7.3k38621.2k

• openai/point-e

  Point cloud diffusion for 3D model synthesis

  Language:Python6.6k22087762

• axa-group/Parsr

  Transforms PDF, Documents and Images into Enriched Structured Data

  Language:JavaScript5.9k82163310

• roboflow/notebooks

  Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.

  Language:Jupyter Notebook5.7k80145906

• has2k1/plotnine

  A Grammar of Graphics for Python

  Language:Python4.1k65691228

• Nixtla/statsforecast

  Lightning ⚡️ fast forecasting with statistical and econometric models.

  Language:Python4.1k41343292

• diego-vicente/som-tsp

  Solving the Traveling Salesman Problem using Self-Organizing Maps

  Language:Python3.9k1177607

• google-research/multinerf

  A Code Release for Mip-NeRF 360, Ref-NeRF, and RawNeRF

  Language:Python3.7k47153343

• mljar/mljar-supervised

  Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

  Language:Python3.1k50660411

• karpathy/makemore

  An autoregressive character-level language model for making more things

  Language:Python2.7k3311698

• deepmind/alphatensor

  Language:Python2.5k539212

• mito-ds/monorepo

  The mitosheet package, trymito.io, and other public Mito code.

  Language:Python1.8k20236120

• alirezadir/machine-learning-interview-enlightener

  This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

  Language:Jupyter Notebook1.7k482348

• deepmind/tapnet

  Tracking Any Point (TAP)

  Language:Python767305073

• wjf5203/VNext

  Next-generation Video instance recognition framework on top of Detectron2 which supports InstMove (CVPR 2023), SeqFormer(ECCV Oral), and IDOL(ECCV Oral))

  Language:Python605176955

• city-super/BungeeNeRF

  [ECCV22] BungeeNeRF: Progressive Neural Radiance Field for Extreme Multi-scale Scene Rendering

  Language:Python573112662

• DeepGenX/CodeGenX

  Code Generation using GPT-J!

  Language:JavaScript514182542

• energy-based-model/Compositional-Visual-Generation-with-Composable-Diffusion-Models-PyTorch

  [ECCV 2022] Compositional Generation using Diffusion Models

  Language:Jupyter Notebook460152241

• hitachinsk/FGT

  [ECCV 2022] Flow-Guided Transformer for Video Inpainting

  Language:Jupyter Notebook316133832

• NVlabs/MinVIS

  Language:Python2665822

• rxavier/poniard

  Streamline scikit-learn model comparison.

  Language:Jupyter Notebook1464179

• AISIN-TRC/E2Pose

  Fully Convolutional Networks for End-to-End Multi-Person Pose Estimation

  Language:Jupyter Notebook1377413

• amonod/pnp-video

  Language:Python81