tamoghna17

tamoghna17's Stars

• sinclam2/fifty-challenging-problems-in-probability

  My solutions to the problems in Fifty Challenging Problems in Probability by Frederick Mosteller

  Language:Jupyter Notebook22378

• anirudhakulkarni/Placements-2024

  22841

• rasbt/LLMs-from-scratch

  Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step

  Language:Jupyter Notebook29.3k3.4k

• tesseract-ocr/tesstrain

  Train Tesseract LSTM with make

  Language:Python631183

• ash-01xor/bpe.c

  Simple Byte pair Encoding mechanism used for tokenization process . written purely in C

  Language:C1193

• NomicFoundation/hardhat-boilerplate

  Language:JavaScript1.1k579

• karpathy/LLM101n

  LLM101n: Let's build a Storyteller

  29.3k1.6k

• LunarVim/Neovim-from-scratch

  📚 A Neovim config designed from scratch to be understandable

  Language:Lua5.4k1.2k

• cfiltnlp/AI-OpenMic

  Repository for code and dataset for our EMNLP 2021 paper - “So You Think You’re Funny?”: Rating the Humour Quotient in Standup Comedy.

  Language:Python133

• PaddlePaddle/PaddleOCR

  Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)

  Language:Python43.4k7.7k

• tesseract-ocr/tesseract

  Tesseract Open Source OCR Engine (main repository)

  Language:C++61.6k9.4k

• adam-maj/tiny-gpu

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

  Language:SystemVerilog7k523

• solana-labs/solana

  Web-Scale Blockchain for fast, secure, scalable, decentralized apps and marketplaces.

  Language:Rust13k4.2k

• mem0ai/mem0

  The Memory layer for your AI apps

  Language:Python22.3k2.1k

• pathwaycom/llm-app

  Dynamic RAG for enterprise. Ready to run with Docker,⚡in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, and more.

  4.3k223

• pathwaycom/pathway

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

  Language:Python4k128

• mlabonne/llm-course

  Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

  Language:Jupyter Notebook38k4k