NikhilSKashyap

NikhilSKashyap's Stars

• microsoft/DeepSpeed

  DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

  Language:Python36k4.2k

• triton-lang/triton

  Development repository for the Triton language and compiler

  Language:C++13.8k1.7k

• chiphuyen/machine-learning-systems-design

  A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"

  Language:HTML9.2k1.4k

• VDIGPKU/CBNetV2

  [TIP 2022] CBNetV2: A Composite Backbone Network Architecture for Object Detection

  Language:Python37867

• frappe/erpnext

  Free and Open Source Enterprise Resource Planning (ERP)

  Language:Python22.4k7.5k

• GokuMohandas/Made-With-ML

  Learn how to design, develop, deploy and iterate on production-grade ML applications.

  Language:Jupyter Notebook37.9k6k

• qdrant/qdrant

  Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

  Language:Rust21.1k1.4k

• just-the-docs/just-the-docs

  A modern, high customizable, responsive Jekyll theme for documentation with built-in search.

  Language:SCSS7.7k3.7k

• google-ai-edge/mediapipe

  Cross-platform, customizable ML solutions for live and streaming media.

  Language:C++28.1k5.2k

• PrithivirajDamodaran/Gramformer

  A framework for detecting, highlighting and correcting grammatical errors on natural language text. Created by Prithiviraj Damodaran. Open to pull requests and other forms of collaboration.

  Language:Python1.5k178

• chiphuyen/ml-interviews-book

  https://huyenchip.com/ml-interviews-book/

  Language:HTML3.5k536

• microsoft/Swin-Transformer

  This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

  Language:Python14.1k2.1k

• ultralytics/yolov5

  YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

  Language:Python51.7k16.5k

• facebookresearch/detectron2

  Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

  Language:Python30.9k7.5k

• open-mmlab/mmdetection

  OpenMMLab Detection Toolbox and Benchmark

  Language:Python29.9k9.5k

• hustvl/YOLOS

  [NeurIPS 2021] You Only Look at One Sequence

  Language:Jupyter Notebook846122

• openai/CLIP

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

  Language:Jupyter Notebook26.7k3.4k

• isl-org/PhotorealismEnhancement

  Code & Data for Enhancing Photorealism Enhancement

  Language:Python1.3k108

• deepchem/deepchem

  Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

  Language:Python5.6k1.7k

• Garvit244/Leetcode

  🎓Leetcode solutions in Python 📚

  Language:Python1.4k615

• huggingface/pytorch-image-models

  The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

  Language:Python32.7k4.8k

• VITA-Group/TransGAN

  [NeurIPS‘2021] "TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up", Yifan Jiang, Shiyu Chang, Zhangyang Wang

  Language:Python1.7k201

• CompVis/taming-transformers

  Taming Transformers for High-Resolution Image Synthesis

  Language:Jupyter Notebook5.9k1.2k

• NikhilSKashyap/11-Projects-to-DataScience

  In this 11 project series, we will explore Data Science concepts using different Kaggle datasets.

  Language:Jupyter Notebook22

• lucidrains/vit-pytorch

  Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

  Language:Python21.2k3.1k

• tzagerAI/tzager

  Language:Python2

• practical-nlp/practical-nlp-code

  Official Repository for Code associated with 'Practical Natural Language Processing' book by O'Reilly Media

  Language:Jupyter Notebook1.3k613

• koaning/human-learn

  Natural Intelligence is still a pretty good idea.

  Language:Jupyter Notebook80054

• eriklindernoren/ML-From-Scratch

  Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

  Language:Python24.1k4.6k

• diagram-ai/vishwakarma

  Python visualization library for Probabilistic Graphical Models, Discrete & Continuous Distributions, and a lot more!

  Language:Python141