RishabhChaudhary

RishabhChaudhary's Stars

• tinygrad/tinygrad

  You like pytorch? You like micrograd? You love tinygrad! ❤️

  Language:Python26.5k2.9k

• cs231n/cs231n.github.io

  Public facing notes page

  Language:Jupyter Notebook10.2k4.1k

• karpathy/build-nanogpt

  Video+code lecture on building nanoGPT from scratch

  Language:Python3.5k485

• THUDM/CogVideo

  text and image to video generation: CogVideoX (2024) and CogVideo (ICLR 2023)

  Language:Python8k747

• comfyanonymous/ComfyUI

  The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.

  Language:Python53k5.6k

• getcursor/cursor

  The AI Code Editor

  24.3k1.5k

• SakanaAI/AI-Scientist

  The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑‍🔬

  Language:Jupyter Notebook7.8k1.1k

• practical-tutorials/project-based-learning

  Curated list of project-based tutorials

  201k26.2k

• daytonaio/daytona

  The Open Source Dev Environment Manager.

  Language:Go8.9k790

• black-forest-labs/flux

  Official inference repo for FLUX.1 models

  Language:Python14.8k1.1k

• karpathy/LLM101n

  LLM101n: Let's build a Storyteller

  29.3k1.6k

• Lightning-AI/litgpt

  20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.

  Language:Python10.3k1k

• ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code

  500 AI Machine learning Deep learning Computer vision NLP Projects with code

  20k5.1k

• cleanlab/cleanlab

  The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

  Language:Python9.6k744

• owainlewis/awesome-artificial-intelligence

  A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.

  10.7k1.8k

• Lightning-AI/pytorch-lightning

  Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.

  Language:Python28.2k3.4k

• khoj-ai/khoj

  Your AI second brain. Open and self-hostable. Get answers from the internet or your docs. Use any online or local LLM (e.g gpt, claude, gemini, llama, qwen, mistral). Access from web, obsidian, emacs, desktop. Build agents. Create automations

  Language:Python12.8k650

• influxdata/influxdb-client-python

  InfluxDB 2.0 python client

  Language:Python713187

• deepgram/deepgram-python-sdk

  Official Python SDK for Deepgram's automated speech recognition APIs.

  Language:Python22559

• scaleapi/llm-engine

  Scale LLM Engine public repository

  Language:Python77654

• RishabhChaudhary/Data-Science-Portfolio

  Language:Jupyter Notebook1

• openai/grade-school-math

  Language:Python1k147

• youssefHosni/Hands-On-LangChain-for-LLM-Applications-Development

  Practical LangChain tutorials for LLM applications development

  12726

• InterviewReady/system-design-resources

  These are the best resources for System Design on the Internet

  15.8k2k

• RishabhChaudhary/Kaggle

  This repository contains learning from Kaggle problems

  Language:Jupyter Notebook1

• RishabhChaudhary/Python_Projects

  Language:Python1