annimukherjee

annimukherjee's Stars

• DopplerHQ/awesome-interview-questions

  :octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:

  71.7k1.7k628.9k

• gradio-app/gradio

  Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

  Language:Python34.2k1785k2.6k

• HeyPuter/puter

  🌐 The Internet OS! Free, Open-Source, and Self-Hostable.

  Language:JavaScript26.7k1444721.8k

• huggingface/diffusers

  🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.

  Language:Python26.4k2014.2k5.4k

• Tencent/ncnn

  ncnn is a high-performance neural network inference framework optimized for the mobile platform

  Language:C++20.5k5723.6k4.2k

• academicpages/academicpages.github.io

  Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

  Language:JavaScript12.5k9236844.1k

• milanm/DevOps-Roadmap

  DevOps Roadmap for 2024. with learning resources

  12.5k212232.1k

• mmistakes/minimal-mistakes

  :triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.

  Language:HTML12.5k1121.3k25.7k

• karpathy/nn-zero-to-hero

  Neural Networks: Zero to Hero

  Language:Jupyter Notebook12k287331.5k

• alexandresanlim/Badges4-README.md-Profile

  :octocat: Improve your README.md profile with these amazing badges.

  Language:Markdown10.6k431461.6k

• Cadene/pretrained-models.pytorch

  Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

  Language:Python9k2141811.8k

• afshinea/stanford-cs-230-deep-learning

  VIP cheatsheets for Stanford's CS 230 Deep Learning

  6.4k22671.4k

• pathwaycom/llm-app

  Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, and more.

  4.7k3215236

• pathwaycom/pathway

  Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.

  Language:Python4.3k2966139

• NirmalScaria/le-git-graph

  Browser extension to add git graph to GitHub website.

  Language:JavaScript3.7k54722

• intel/neural-compressor

  SOTA low-bit LLM quantization (INT8/FP8/INT4/FP4/NF4) & sparsity; leading model compression techniques on TensorFlow, PyTorch, and ONNX Runtime

  Language:Python2.2k33206257

• quic/aimet

  AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

  Language:Python2.2k511.4k384

• keras-team/keras-core

  A multi-backend implementation of the Keras API, with support for TensorFlow, JAX, and PyTorch.

  Language:Python1.3k27172117

• mrdbourke/m1-machine-learning-test

  Code for testing various M1 Chip benchmarks with TensorFlow.

  Language:Jupyter Notebook5291614154

• hashkrish/cs1102-notes

  Language:Shell151013

• sayan112207/MediMitra

  "MediMitra" is a Streamlit chat interface. Users can ask health-related questions via text, speech, or images and receive responses from the model. including multilingual support with generative capabilities

  Language:Jupyter Notebook6101

• rewards-ai/training-platform

  Download the rewards platform here

  Language:JavaScript2001

• 54nd339/algoviz

  A simple Algorithm Visualiser

  Language:JavaScript1100

• AdityaM2205/AdityaM2205

  Config files for my GitHub profile.

  110

• Pratyush-exe/rewards.ai

  a deep reinforcement learning platform for beginners

  Language:Python1201

• saharshpand3y/Konnexions

  Language:TypeScript1102